Content
# scoped-mcp
[](https://claude.ai/code)
[](https://github.com/TadMSTR/scoped-mcp/actions/workflows/ci.yml)
[](https://pypi.org/project/scoped-mcp/)
[](https://pypi.org/project/scoped-mcp/)
[](https://opensource.org/licenses/MIT)
Per-agent scoped MCP tool proxy. One server process per agent — loads only the tools that agent is allowed to use, enforces resource boundaries between agents, holds credentials so agents never see them, and logs every tool call to a structured audit trail.
---
## The Problem
Multi-agent setups (Claude Code subagents, parallel workers, role-based agents) share the same MCP servers. Every agent sees every tool. Every agent holds credentials. Agent A can read Agent B's data. Audit logging is fragmented across a dozen server processes.
Existing solutions solve pieces:
- **Aggregation gateways** — combine servers, no scoping
- **Access control proxies** — filter tools per agent, no resource scoping
- **Credential proxies** — isolate credentials, no tool management
- **Enterprise gateways** — governance and auth, but cloud and team-oriented
None combine all four: **tool filtering + resource scoping + credential isolation + audit logging**.
scoped-mcp was built using the same multi-agent pattern it's designed to
secure — a research agent evaluated the problem space, a dev agent implemented
the code, each with scoped access to only the resources it needed. It runs
in production as part of [homelab-agent](https://github.com/TadMSTR/homelab-agent),
a self-hosted Claude Code platform with purpose-built agents for different
infrastructure domains.
---
## How It Works
```
Agent process (AGENT_ID=research-01, AGENT_TYPE=research)
│
▼
┌─────────────────────────────────────────┐
│ scoped-mcp (one process per agent) │
│ │
│ ① Load manifest for AGENT_TYPE │
│ ② Register allowed tool modules │
│ ③ Inject credentials into modules │
│ ④ Every tool call: │
│ → enforce resource scope │
│ → execute tool logic │
│ → write audit log entry │
└─────────────────────────────────────────┘
│ │ │
▼ ▼ ▼
Backend A Backend B Backend C
(scoped) (scoped) (scoped)
```
```mermaid
flowchart LR
subgraph agent["Agent Process"]
A["AGENT_ID=research-01<br/>AGENT_TYPE=research"]
end
subgraph proxy["scoped-mcp (single process)"]
direction TB
M["Manifest Loader<br/><i>research-agent.yml</i>"]
R["Module Registry"]
C["Credential Injector"]
EX["Tool Execution<br/>(scope → run → audit)"]
M --> R
R --> C
C --> EX
end
subgraph backends["Backends (scoped)"]
FS["Filesystem<br/><code>agents/research-01/</code>"]
DB["SQLite<br/><code>agent_research-01.db</code>"]
NT["ntfy<br/><code>topic: research-research-01</code>"]
end
ALOG["Audit Log<br/>(JSONL)"]
A -- "MCP (stdio)" --> proxy
EX --> FS
EX --> DB
EX --> NT
EX --> ALOG
```
---
## Quickstart
```bash
pip install scoped-mcp
# Set agent identity
export AGENT_ID="research-01"
export AGENT_TYPE="research"
# Run with a manifest
scoped-mcp --manifest manifests/research-agent.yml
```
**Claude Code `settings.json`:**
```json
{
"mcpServers": {
"tools": {
"command": "scoped-mcp",
"args": ["--manifest", "manifests/research-agent.yml"],
"env": {
"AGENT_ID": "research-01",
"AGENT_TYPE": "research"
}
}
}
}
```
See `examples/claude-code/` for a complete multi-agent setup.
See `examples/launcher/` for stdio subprocess launcher templates — required when proxying
MCP servers that need credentials, since stdio subprocesses do not inherit the parent env.
---
## Transports
`scoped-mcp run` supports two transports via `--transport` (default `stdio`, unchanged):
| Transport | Process model | Isolation | Auth |
|-----------|---------------|-----------|------|
| `stdio` (default) | one subprocess per turn, spawned by the MCP client | private pipe — no network surface | none needed (implicit) |
| `http` | one long-lived streamable-http process per agent, under PM2 | loopback-only bind | bearer token (required) |
**stdio** is the default and needs no extra flags — it is what the Quickstart and Claude
Code `settings.json` examples above use.
**http** (added v1.6.0) runs scoped-mcp as a persistent streamable-http server so a
per-turn client recycle only drops a connection to a warm process — tool discovery no
longer re-runs and tools never disappear mid-session. It is intended for one long-lived
process per agent, supervised by PM2.
```bash
export AGENT_ID="research-01"
export AGENT_TYPE="research"
export SCOPED_MCP_BEARER_TOKEN="$(openssl rand -hex 32)" # required for http
scoped-mcp run \
--manifest manifests/research-agent.yml \
--transport http \
--port 9200 \
--path /mcp # default; --host defaults to 127.0.0.1
```
HTTP transport constraints:
- **Bearer required** — every request must send `Authorization: Bearer <SCOPED_MCP_BEARER_TOKEN>`.
Missing or invalid tokens are rejected with `401` before any tool dispatch, using a
constant-time compare. Startup refuses to run the HTTP transport if the env var is unset.
- **Loopback only** — the server binds `127.0.0.1`; a non-loopback `--host` is refused.
`--port` is required under `http`.
- **Per-connection audit identity** — each request resolves its own audit `session_id`
from the MCP connection context, so a single long-lived process still emits distinct
session ids for concurrent clients. The raw MCP session id is mapped to a stable,
non-reversible UUID that never leaks into logs. **Stateless clients** — one that
negotiates no MCP session id — used to collapse onto the process-global session id,
merging unrelated audit trails; the resolver now falls back to a stable per-connection
id derived from the TCP peer (`host:port`, itself `uuid5`-mapped) instead, so distinct
concurrent stateless connections still get distinct trails. (SMCP-16, v1.8.0)
- **Manifest edits require a restart** — module discovery (`_discover_tools()`) runs
exactly once, when the process starts. Under `stdio`, every new client connection was
a fresh subprocess, so a manifest edit took effect automatically on the next session.
Under `http`, the process is long-lived and a client reconnecting is just a new
connection to the same warm server — a manifest edit (new `tool_allowlist` entries,
new modules, etc.) has **no effect** until you run
`pm2 restart scoped-mcp-<agent>`. `scoped_mcp_status` surfaces a `manifest_stale: true`
flag (with a restart hint) once the manifest file's mtime moves past what the running
process loaded — see **Module Health** below. (SMCP-24)
Client `settings.json` for an HTTP agent points at the URL rather than a command:
```json
{
"mcpServers": {
"tools": {
"type": "http",
"url": "http://127.0.0.1:9200/mcp",
"headers": { "Authorization": "Bearer ${SCOPED_MCP_BEARER_TOKEN}" }
}
}
}
```
---
## Core Concepts
**Agent Identity** — `AGENT_ID` (unique instance) and `AGENT_TYPE` (role) set via environment variables at spawn time. The manifest maps agent types to allowed modules.
**Tool Modules** — one Python file per backend domain. Each module declares its tools, required credentials, and scoping strategy. The framework handles registration, credential injection, and audit wrapping.
**Scoping Strategies** — reusable patterns for resource isolation:
- `PrefixScope` — file paths, object store keys, cache keys scoped to `agents/{agent_id}/`
- `NamespaceScope` — key-value operations prefixed with agent's namespace
- Per-agent file — e.g. SQLite gives each agent its own database file at `{db_dir}/agent_{agent_id}.db`
- Custom — implement `ScopeStrategy` for your backend's isolation model
**Credential Injection** — backend credentials (API keys, DSNs, tokens) loaded once by the proxy process from environment variables or a secrets file. Modules receive credentials through their context — the agent process never sees them.
**Logging** — two structured JSON-L streams:
1. **Audit log** — what agents did. Every tool call, every scope check. Under stdio each entry carries the process-start `session.id`; under the long-lived HTTP transport the `session.id` is resolved per connection so concurrent clients stay distinguishable.
2. **Operational log** — what the server did. Startup, shutdown, config errors.
Both file sinks use a size-based `RotatingFileHandler` (v1.6.0) so a long-lived HTTP
process cannot grow an unbounded log — tune with `SCOPED_MCP_LOG_MAX_BYTES` (default
50 MiB) and `SCOPED_MCP_LOG_BACKUPS` (default 5). stdio-per-turn behaviour is unchanged.
**Module Startup** — when an agent connects, scoped-mcp starts all proxied/upstream modules concurrently (`asyncio.gather`) rather than one at a time. With ~17 upstream modules this cuts cold-start from ~5.5s to under 1s — roughly the time of the single slowest module — and removes the window where tools are briefly unavailable during per-connection restarts (e.g. under CloudCLI's stream-json driver). (v1.3.2)
**Fault Isolation** — a single module failure does not kill the server. Isolation is applied at three phases (v1.4.0):
- **Import** — if a module file raises on import (missing dependency, syntax error), it is recorded in `failed_imports` and discovery continues. Other modules are unaffected.
- **Init** — if a module's `__init__` raises (bad config, missing credential), it is skipped. Other modules still instantiate and register normally.
- **Startup** — `asyncio.gather` runs with `return_exceptions=True`. A startup failure is recorded in `module_health`; the server yields and remaining modules' tools stay available.
**Module Health** — `scoped_mcp_status` is always registered regardless of manifest content. Call it at session start to get `{modules, failed_count, total_count, healthy}` with per-module status values: `running`, `failed_import`, `failed_init`, `failed_startup`. Set `SCOPED_MCP_HEALTH_FILE` to a path and the lifespan will write a JSON health report after startup completes — useful for session-start hooks or external health-check scripts that need file-based status without calling an MCP tool. The health file is rewritten on every credential-health transition (see below) and carries a `written_at` timestamp so an external watcher can detect a wedged process by staleness. Failed modules are reported there as `error_type` (the exception class name only) rather than the full exception message, since an exception can echo back a dependency URL with inline credentials and the file is a plain on-disk artifact — the full message stays in the ops log and in `scoped_mcp_status`. (v1.4.0)
**Optional Modules** — a per-module manifest flag, `optional: true` (`ModuleConfig`), marks a dependency that's expected to be intentionally offline sometimes — e.g. `claudebox-ops`, which points at a host that's powered off on purpose outside working hours. A `failed_import` / `failed_init` / `failed_startup` on an optional module no longer counts toward `failed_count` / `healthy` in `scoped_mcp_status`, the health file, or `GET /health` — it's tracked separately under a new `offline_optional_modules` field instead, so the process stays `healthy: true` while an optional dependency is down. A healthy↔offline transition of an optional module still fires exactly one low-severity alert via the existing SMCP-26 Matrix→ntfy ops-alert path (comparing against the previous process's state, persisted in the health file) — no repeat spam across restarts while it stays offline, and recovery fires too. Non-optional module failures are unaffected — same degrade-to-503 behavior as before. (v1.10.0, SMCP-31)
```yaml
modules:
claudebox-ops:
type: mcp_proxy
optional: true # expected to go offline when claudebox is powered down
config:
url: http://claudebox.local:8600/mcp
```
**Module Init Self-Heal** — a module whose dependency isn't listening yet no longer stays dead for the life of the process. Two mechanisms cover the same failure from both ends:
- **Dependency-ready gate** — before instantiating a module whose config carries a **loopback** HTTP `url`, the registry polls that port until it accepts a TCP connection, bounded by `dependency_wait_timeout_seconds` (default `30`) at `dependency_wait_interval_seconds` (default `1`). A successful connect is the whole test — no status code is required, since an MCP endpoint answers an unauthenticated probe with 401/404/405/406 depending on the server, all of which mean "it's up". This kills the common start-ordering race against a co-located dependency. **Only loopback URLs gate startup**: a remote dependency may be `optional: true` and powered off on purpose, so blocking on it would turn a supported state into an outage. On expiry the module falls through to the normal `failed_init` path — startup is always bounded and never hangs. A shared ceiling also bounds the **total** time one process spends across every module's gate combined — default `60` seconds, overridable with `SCOPED_MCP_DEPENDENCY_WAIT_BUDGET_SECONDS` — so a full dependency outage across many modules costs at most one budget's worth of startup delay rather than the sum of each module's individual timeout (a manifest with 9-16 loopback dependencies could otherwise cost minutes before `/health` even exists to report the problem). A malformed or negative value falls back to the default rather than failing startup, and once the shared budget is drained, remaining gates become no-ops and those modules fall straight through to `failed_init`, where the background re-init loop below picks them up.
- **Background re-init loop** — after startup, any module left in `failed_init` or `failed_startup` is retried by one asyncio task with exponential backoff (5s → 5min cap), cancelled cleanly on shutdown. On success the module's tools are registered onto its already-mounted child server, its status flips to `running` with the recorded error cleared, and the health file is rewritten — so `/health` returns `200` on the very next probe **with no restart**. `failed_import` is never retried: the class doesn't exist in this process, and waiting won't change that.
Transitions fire one `module_init_degraded` and one `module_recovered` ops alert through the same Matrix→ntfy path as the credential alerts — one per transition, never per retry attempt. Optional modules keep their SMCP-31 event names (`optional_module_offline` / `optional_module_recovered`) and are not double-alerted. Alert payloads carry the exception **type** only, never its message, which can embed a credentialed URL.
```yaml
modules:
system-ops:
type: mcp_proxy
config:
url: http://localhost:8282/mcp
dependency_wait_timeout_seconds: 30 # optional; 0 disables the gate
dependency_wait_interval_seconds: 1 # optional
```
**Credential Health, Self-Heal & Alerting** — for `credentials.source: vault`, `scoped_mcp_status` and the health file also include a `credentials` block (`{source, token_healthy, consecutive_failures, last_renewal_ok_ts, last_reauth_ts, seconds_to_expiry_est, reauth_enabled}`), and top-level `healthy` goes `false` when the Vault token is unhealthy — so a process stuck in a permanent renewal-failure loop can no longer report `healthy: true`. Four layers make a silent credential failure both self-recovering and loud (SMCP-26):
- **Self-heal re-auth** — when renewal fails with a permission/403 class error or crosses the critical-failure threshold, scoped-mcp mints a fresh token with a full AppRole login. This covers the hard `token_max_ttl` ceiling that `renew-self` alone can never exceed. **Opt-in via `SCOPED_MCP_VAULT_REAUTH=1`**, and only safe when the AppRole has a reusable secret_id (`secret_id_num_uses=0`) — re-logging in with a single-use secret_id would burn the only credential. When unset, re-auth is a no-op and the failure surfaces through the layers below.
- **Out-of-band alert** — on each healthy⇄degraded transition scoped-mcp posts a Vault-independent alert to Matrix, configured from plain env (`SCOPED_MCP_ALERT_MATRIX_HOMESERVER`, `SCOPED_MCP_ALERT_MATRIX_TOKEN`, `SCOPED_MCP_ALERT_MATRIX_ROOM`) so it still fires when Vault is the broken dependency. A burst of `/mcp` `401`s (a misconfigured client bearer) also fires one rate-limited alert — the one signal a session-start `scoped_mcp_status` check can't catch, because a 401'd client never reaches any tool. If no alert channel is configured, a warning is logged once at startup.
- **ntfy fallback** (v1.8.0, SMCP-27) — Matrix is the primary sink; if it's down or unconfigured, the same alert falls back to an ntfy topic via `SCOPED_MCP_ALERT_NTFY_URL` (+ optional `SCOPED_MCP_ALERT_NTFY_TOKEN`). This is a fallback, not fan-out — on the happy path (Matrix accepts) ntfy is never contacted, and the fire-once-per-transition dedup still yields one alert overall. Because ntfy is the one alert path that leaves the host, the token is withheld (never sent) when the configured URL isn't `https://`, so a misconfigured plaintext URL can't leak it.
- **`/health` endpoint** — under `--transport http`, an unauthenticated `GET /health` on the existing port returns `200` when healthy and `503` when degraded (booleans/counts only, never token or lease values), so a dumb prober or load balancer can act on the status code alone.
- **OTel metrics** — when `OTEL_EXPORTER_OTLP_ENDPOINT` is set (and the `[otel]` extra is installed), two observable gauges (`scoped_mcp.credentials.healthy`, `scoped_mcp.vault.consecutive_renewal_failures`) export to your collector for a durable, queryable alert rule. No-op if the endpoint or extra is absent.
**Manifest Staleness** — under `--transport http`, `scoped_mcp_status` also reports `manifest_path` and `manifest_loaded_at` (when this process loaded its manifest). If the manifest file's mtime has moved since then, the response adds `manifest_stale: true` and a `manifest_stale_hint` string telling you to run `pm2 restart scoped-mcp-<agent>`. This is diagnostic only — it never fails the status call, even if the manifest file has since been deleted or become unreadable. See **Transports → HTTP transport constraints** for why this class of drift is possible under the long-lived process model. (SMCP-24)
**Graceful Shutdown** — scoped-mcp installs a SIGTERM handler that calls `sys.exit(0)`, routing cleanup through FastMCP's lifespan `finally` block and every module's `shutdown()` hook. This ensures open sockets, Vault token-renewal tasks, and `mcp_proxy` subprocess handles are released cleanly when Claude Desktop or Claude Code ends a session. Without this, a SIGTERM kill mid-flight could bypass shutdown hooks and leave orphaned processes. (v1.3.4)
---
## Manifest Format
```yaml
# manifests/research-agent.yml
agent_type: research
description: "Read-only research agent"
modules:
filesystem:
mode: read # read-only: read_file + list_dir only
config:
base_path: /data/agents # PrefixScope adds /{agent_id}/ automatically
sqlite:
mode: read
config:
db_dir: /data/sqlite # each agent gets /data/sqlite/agent_{agent_id}.db
ntfy: # write-only — no mode field needed
config:
topic: "research-{agent_id}"
max_priority: high
credentials:
source: env # or "file" with path: /run/secrets/agent.yml
# or: source: vault — see Vault Credentials section
# Optional: pluggable state backend (required for rate limiting and HITL)
state_backend:
type: in_process # default — no external deps
# type: dragonfly
# url: redis://127.0.0.1:6379/0
# Optional: sliding-window rate limits
rate_limits:
global: 60/minute # all tools combined
per_tool:
filesystem_write_file: 10/minute
"mcp_proxy.*": 30/minute # glob — all matched tools share one counter
# Optional: argument-value filtering
argument_filters:
- name: no-credentials
pattern: '(?i)(password|secret|token)\s*[:=]\s*\S+'
fields: [path, query, body]
action: block # or: warn
decode: [base64, urlsafe_base64, url]
# Optional: human-in-the-loop approval (requires state_backend.type: dragonfly)
hitl:
approval_required: ["filesystem_delete_*", "sqlite_execute"]
shadow: ["mcp_proxy.*"] # log-only, return synthetic empty success
timeout_seconds: 300
notify:
type: ntfy # or: log (default), webhook, matrix
topic: homelab-hitl
```
### Environment Variable Substitution
Manifest fields support `${VAR_NAME}` placeholders, expanded from the process environment before YAML parsing:
```yaml
state_backend:
type: dragonfly
url: "redis://:${REDIS_PASSWORD}@host:6379/0" # always quote substitution sites
credentials:
source: file
path: "${SECRETS_FILE}"
```
Rules:
- Only the braced form is expanded (`${VAR}`, not `$VAR`) to prevent accidental substitution.
- Undefined variables at startup are a hard error — the agent will not start with incomplete config.
- Expanded values are never written to audit or ops logs.
- **Always YAML-quote fields receiving substitution** — a secret value containing `:`, `{`, or `}` can corrupt the YAML structure if the field is unquoted.
### Top-Level Fields and Strict Validation
The top-level manifest model rejects unknown fields (`extra="forbid"`). A misspelled
or stale key fails the manifest at load time rather than being silently ignored — a
deliberate guard against shadowing attacks, where an unrecognized field could mask a
real setting. Every field an agent platform attaches to its manifests must therefore
be modeled explicitly.
Alongside the operational fields (`modules`, `credentials`, `state_backend`,
`rate_limits`, `argument_filters`, `response_filters`, `hitl`, `audit`), the model
accepts three **platform-metadata** fields. scoped-mcp validates and stores them but
does not act on them — they are consumed by the task dispatcher, agent bus, and other
agents on the platform:
| Field | Type | Purpose |
|-------|------|---------|
| `max_auto_risk` | string | Highest risk tier the agent may auto-approve |
| `interaction_permissions` | `{auto_approved: [...], needs_approval: [...]}` | Cross-agent task auto-approval lists |
| `workspace_access` | list of entries (below) | Filesystem paths the agent may access |
Each `workspace_access` entry (added v1.3.3):
| Key | Type | Default | Purpose |
|-----|------|---------|---------|
| `path` | string | — | Filesystem path the agent may access |
| `access` | `readonly` \| `readwrite` | — | Access mode for the path |
| `git_backed` | bool | `false` | Path is a git repository |
| `branch_required` | bool | `false` | Edits must be made on a branch, not the default branch |
```yaml
workspace_access:
- path: /srv/agents/research-01
access: readwrite
git_backed: true
branch_required: true
- path: /srv/shared/reference
access: readonly
```
`workspace_access` was previously tolerated only because the model briefly loosened to
`extra="ignore"`; modeling it as a typed field lets the top-level model keep
`extra="forbid"` while still validating the block present in every agent manifest.
### Manifest-to-Tools Mapping
```mermaid
flowchart LR
subgraph manifest_r["research-agent.yml"]
MR1["filesystem: read"]
MR2["sqlite: read"]
MR3["ntfy: write-only"]
end
subgraph tools_r["Registered Tools (4)"]
TR1["filesystem_read_file"]
TR2["filesystem_list_dir"]
TR3["sqlite_query"]
TR4["ntfy_send"]
end
MR1 --> TR1 & TR2
MR2 --> TR3
MR3 --> TR4
subgraph manifest_b["build-agent.yml"]
MB1["filesystem: write"]
MB2["sqlite: write"]
MB3["ntfy: write-only"]
MB4["slack_webhook: write-only"]
end
subgraph tools_b["Registered Tools (8)"]
TB1["filesystem_read_file"]
TB2["filesystem_list_dir"]
TB3["filesystem_write_file"]
TB4["filesystem_delete_file"]
TB5["sqlite_query"]
TB6["sqlite_execute"]
TB7["ntfy_send"]
TB8["slack_send"]
end
MB1 --> TB1 & TB2 & TB3 & TB4
MB2 --> TB5 & TB6
MB3 --> TB7
MB4 --> TB8
```
---
## Built-in Modules
### Storage
| Module | Scope | Read tools | Write tools |
|--------|-------|-----------|-------------|
| `filesystem` | `PrefixScope` — `agents/{agent_id}/` | `read_file`, `list_dir` | `write_file`, `delete_file` |
| `sqlite` | Per-agent DB file — `{db_dir}/agent_{agent_id}.db` | `query`, `list_tables` | `execute`, `create_table` |
### Notifications
Notification modules are **write-only by design** — every agent needs to send alerts, but no agent should see webhook URLs, SMTP passwords, or API tokens.
| Module | Backend | Credential | Scope |
|--------|---------|------------|-------|
| `ntfy` | ntfy.sh (self-hosted or cloud) | Server URL + optional token | Topic per agent (`{agent_id}` template) |
| `smtp` | Any SMTP server | Host, port, user, password | Configured sender + allowed recipients |
| `matrix` | Matrix homeserver | Access token | Room allowlist |
| `slack_webhook` | Slack incoming webhook | Webhook URL | One webhook = one channel |
| `discord_webhook` | Discord webhook | Webhook URL | One webhook = one channel |
### Proxy
| Module | Description | Key config |
|--------|-------------|------------|
| `mcp_proxy` | Forward tool calls to an upstream MCP server (HTTP or stdio) | `url` or `command`, optional `tool_denylist`, `headers` |
`mcp_proxy` connects to upstream MCP servers and re-exposes their tools through scoped-mcp.
Tools are prefixed with the module name (e.g. `memsearch-mcp_search_memory`). Use `tool_denylist`
to hide specific upstream tools from the agent.
**Header injection** — pass custom HTTP headers to upstream streamable-http servers:
```yaml
modules:
memsearch-mcp:
type: mcp_proxy
config:
url: http://localhost:8493/mcp
headers:
Authorization: "Bearer ${MEMSEARCH_API_TOKEN}"
```
Header values support `${VAR}` substitution (same rules as all manifest fields).
Headers are only applied to HTTP transports — configuring headers on a stdio
transport logs a warning and ignores them. `Authorization` header values are
automatically redacted from structured logs.
**Self-healing stdio upstreams** (v1.6.0) — a persistent stdio upstream call that fails
with a dead-transport error (broken/closed pipe, subprocess exit) transparently
reconnects **once** and retries, logging `mcp_proxy_reconnect`. This matters under the
long-lived HTTP transport, where a dead pipe would otherwise persist until restart. The
reconnect is serialized with a lock so concurrent callers do not race to replace the
client; normal tool errors still propagate untouched so real outages are not masked.
### Infrastructure
| Module | Scope | Read tools | Write tools |
|--------|-------|-----------|-------------|
| `http_proxy` | Service allowlist + SSRF prevention | `get` | `post`, `put`, `delete` |
| `grafana` | Folder-based (`agent-{agent_id}/`) | `list_dashboards`, `get_dashboard`, `query_datasource`, `list_datasources` | `create_dashboard`, `update_dashboard`, `create_alert_rule`, `delete_dashboard` |
| `influxdb` | Bucket allowlist + `NamespaceScope` | `query`, `list_measurements`, `get_schema` | `write_points`, `create_bucket`, `delete_points` |
### Credentials
Every module declares its required and optional environment variables. scoped-mcp
fails at startup with a clear error listing any missing required keys — it will not
start partially configured.
| Module | Required env vars | Optional env vars |
|--------|------------------|-------------------|
| `filesystem` | — | — |
| `sqlite` | — | — |
| `ntfy` | `NTFY_URL` | `NTFY_TOKEN` |
| `smtp` | `SMTP_HOST`, `SMTP_PORT`, `SMTP_USER`, `SMTP_PASSWORD` | — |
| `matrix` | `MATRIX_HOMESERVER`, `MATRIX_ACCESS_TOKEN` | — |
| `slack_webhook` | `SLACK_WEBHOOK_URL` | — |
| `discord_webhook` | `DISCORD_WEBHOOK_URL` | — |
| `http_proxy` | — (dynamic; see module config) | — |
| `grafana` | `GRAFANA_URL`, `GRAFANA_SERVICE_ACCOUNT_TOKEN` | — |
| `influxdb` | `INFLUXDB_URL`, `INFLUXDB_TOKEN` | `INFLUXDB_ORG` (overrides `config.org`) |
Credentials are passed in `settings.json` under `env` (for Claude Code) or exported
in the shell before running `scoped-mcp`. They are loaded once at startup, injected
into module contexts, and never returned in tool responses or logged.
For HashiCorp Vault — set `credentials.source: vault` in the manifest with an
`approle` block; credentials are fetched once at startup and the client token is
renewed in the background. Requires `pip install scoped-mcp[vault]`. See
`examples/vault/` for a working manifest, AppRole setup script, and Vault policy.
For integration with a secrets manager such as Vaultwarden, see
`examples/vaultwarden/`.
---
## Three-Module Workflow
```
┌─ ops-agent (AGENT_ID=ops-01) ────────────────────────────────────┐
│ │
│ 1. influxdb_query(bucket="metrics", │
│ filters=[{"field": "_measurement", │
│ "op": "==", "value": "docker_cpu"}]) │
│ → discovers container X averaging 94% CPU │
│ │
│ 2. grafana_create_dashboard( │
│ title="Container Health", │
│ panels=[{"title": "CPU by Container", ...}]) │
│ → dashboard created in folder agent-ops-01/ │
│ │
│ 3. ntfy_send(title="High CPU: container X", │
│ message="Averaging 94% over last hour.") │
│ → operator gets push notification │
│ │
└───────────────────────────────────────────────────────────────────┘
```
The agent queried metrics it can see, built a dashboard it owns, and alerted through a channel it's allowed to use. At no point did it see API tokens, access another agent's data, or modify operator dashboards.
---
## Write Your Own Module
```python
# src/scoped_mcp/modules/redis.py
from scoped_mcp.modules._base import ToolModule, tool
from scoped_mcp.scoping import NamespaceScope
class RedisModule(ToolModule):
name = "redis"
scoping = NamespaceScope()
required_credentials = ["REDIS_URL"]
def __init__(self, agent_ctx, credentials, config):
super().__init__(agent_ctx, credentials, config)
import redis.asyncio as aioredis
self._redis = aioredis.from_url(credentials["REDIS_URL"])
@tool(mode="read")
async def get_key(self, key: str) -> str | None:
"""Get a value (scoped to agent namespace)."""
scoped_key = self.scoping.apply(key, self.agent_ctx)
return await self._redis.get(scoped_key)
@tool(mode="write")
async def set_key(self, key: str, value: str, ttl: int = 0) -> bool:
"""Set a key-value pair (scoped to agent namespace)."""
scoped_key = self.scoping.apply(key, self.agent_ctx)
return await self._redis.set(scoped_key, value, ex=ttl or None)
```
Add it to your manifest:
```yaml
modules:
redis:
mode: read # only get_key registered
config: {}
```
See `examples/custom-module/` for a full walkthrough and `docs/module-authoring.md` for the complete contract.
---
## Comparison to Existing Tools
The projects below are the closest real comparators in the 2026 MCP-gateway
landscape. All are capable tools — but each targets server-level federation,
container isolation, or team/enterprise RBAC. None isolates resources at the
**per-agent-instance** boundary (Agent A cannot read Agent B's files, rows, or
buckets *even with identical tools*), which is scoped-mcp's core design point.
| Capability | scoped-mcp | [IBM ContextForge][cf] | [Docker MCP Gateway][dmg] | [Stacklok ToolHive][th] | [Kong MCP][kong] |
|---|---|---|---|---|---|
| Tool aggregation | yes | yes | yes | yes | yes |
| Per-agent tool filtering | manifest | RBAC | per-server | RBAC | RBAC |
| **Per-agent resource scoping** | **yes** | no | no | no | no |
| Credential isolation | **yes** | partial | yes | yes | partial |
| Unified audit log | yes | yes (OTel) | partial | yes | yes |
| Read/write modes | **yes** | no | no | no | per-role |
| Self-hosted, single process | **yes** | yes | no (containers) | no (containers/K8s) | no |
| Built-in scoped modules | **10** | 0 | 0 | 0 | 0 |
| Primary audience | self-hosted multi-agent | enterprise federation | dev-local / container | platform teams (K8s) | enterprise API teams |
scoped-mcp does **not** compete with these on OAuth/OIDC, multi-tenant SaaS, or
Kubernetes orchestration — see [Non-Goals](#non-goals). It occupies the gap they
leave: per-agent resource isolation in a single self-hosted process.
[cf]: https://github.com/IBM/mcp-context-forge
[dmg]: https://github.com/docker/mcp-gateway
[th]: https://github.com/stacklok/toolhive
[kong]: https://konghq.com/blog/engineering/mcp-tool-governance-security-meets-context-efficiency
---
## Security
scoped-mcp's core value is security — tool scoping, credential isolation, and
audit logging. To back that up:
- **Threat model:** `docs/threat-model.md` documents the attack surface,
trust boundaries, and what scoped-mcp does and does not protect against.
- **Audit history:** `docs/security-audit.md` tracks formal internal audits:
v0.1.0 found 18 findings (1 critical, 3 high, 8 medium, 6 low), remediated
in v0.2.0; the v0.2.1 follow-up audit returned clean. Post-v1.0 security
fixes (OTel exception redaction, audit log stdio isolation, ManifestError
secret suppression) are documented in CHANGELOG.md.
- **Verifiable isolation:** the `examples/claude-code/multi-agent-setup.md`
includes a step-by-step verification walkthrough — you can confirm filesystem
isolation and credential non-exposure yourself in under five minutes.
### Optional guardrails
Six opt-in middleware layers sit on top of the core tool/scope/credential/audit
guarantees. All are off by default; enable per-agent in the manifest:
- **OpenTelemetry tracing** (`OTEL_EXPORTER_OTLP_ENDPOINT`, v0.6) — one span per
tool call with `scoped_mcp.*` attributes (`agent.id`, `agent.type`, `tool.name`,
`call.status`). Auto-enabled when `OTEL_EXPORTER_OTLP_ENDPOINT` is set in the
environment. Tool arguments are excluded from spans to prevent credential leakage.
Works with SigNoz, Grafana Tempo, Jaeger, and Langfuse OTLP ingest. Requires
`pip install scoped-mcp[otel]`.
- **Rate limiting** (`rate_limits:`, v0.7) — sliding-window per-agent and
per-tool limits with glob patterns. Backed by `InProcessBackend` (default)
or `DragonflyBackend` (`[dragonfly]` extra) for cross-process state.
- **Vault-backed credentials** (`credentials.source: vault`, v0.8) — fetch
credentials from HashiCorp Vault via AppRole; client token auto-renewed in
the background, with opt-in self-heal re-auth, credential-health surfacing,
an unauthenticated `/health` probe, and out-of-band degradation alerts
(SMCP-26 — see **Credential Health, Self-Heal & Alerting** above).
See `examples/vault/`.
- **mcp_proxy schema validation + argument filtering** (`argument_filters:`,
v0.9) — proxied calls are validated against the upstream tool's
`inputSchema` before forwarding; pattern-based argument filters can block
or alert on values, with optional base64/url decoding. See
`docs/threat-model.md` for the documented limits.
- **Human-in-the-loop approval** (`hitl:`, v1.1) — operator-gated tool
calls using a reject-then-wait design. When an agent calls an
`approval_required` tool, the middleware rejects immediately with a
`HitlRejectedError` containing an approval ID and retry instructions —
the MCP connection stays open. The operator runs
`scoped-mcp hitl approve <id>`, which writes a one-time pre-approval
token to Dragonfly (60 s TTL). The agent retries the tool call; the
middleware finds and consumes the token and forwards the call upstream.
Shadow-mode tools log a sanitised argument summary and return a
synthetic empty-success without forwarding upstream — useful for
observing agent behaviour before enabling a tool. Pre-approval tokens
carry the `approval_id`, so once a token is consumed on retry the
middleware resolves the `hitl_approvals` audit row to `consumed`
instead of leaving it stuck at `approved` forever (v1.10.0, SMCP-39) —
fails open on a pre-upgrade plain-string token, skipping only the audit
resolve.
CLI subcommands:
```
scoped-mcp hitl list # pending approvals
scoped-mcp hitl approve <approval_id> # write pre-approval token
scoped-mcp hitl reject <approval_id> # delete pending key
```
Requires `state_backend.type: dragonfly`. Install with
`pip install scoped-mcp[dragonfly]`.
**In-session HTTP approval** (v1.9.0, SMCP-14 Phase A/B) — a second approve
path that doesn't require a shell on the host. Under `--transport http`,
gated agents also register three loopback routes: `POST /hitl/approve`,
`POST /hitl/deny`, `GET /hitl/pending`. The intended caller is
[`matrix-hitl-bot`](https://gitea.tadmstr.me/host-forge/matrix-hitl-bot) —
the operator replies approve/deny to the agent's notify room in Matrix, and
the bot calls the endpoint on their behalf; the requesting agent is never in
that loop. These routes are unauthenticated by FastMCP's `BearerTokenVerifier`
(custom routes bypass it), so each handler checks its own bearer against a
**dedicated** secret, `SCOPED_MCP_HITL_TOKEN` — distinct from the MCP tool
bearer (`SCOPED_MCP_BEARER_TOKEN`) and known only to the bot/courier, never
the agent. A missing token env var still registers the routes (so callers get
a clean `503`, not a `404`) but fails closed until the operator sets it.
On gate-reject the middleware also mints a 256-bit one-time OTP
(`hitl:otp:{approval_id}`, Dragonfly-only, never posted to the notify room)
for a deferred Phase 2 courier form that presents `{approval_id, otp}`
instead of the bot's trusted `{approval_id}`. Approve/deny claim the pending
record atomically (`StateBackend.get_delete`), so a second call or a race
resolves to `already_decided`; a Dragonfly error denies (`503`) rather than
approving — same fail-closed rule as the CLI path above.
**Interactive mode** (v1.11.0) — a manifest field, `hitl.mode: enforce | interactive`
(default `enforce`, no behavior change for existing manifests), controls how a gated
call's approval is resolved. Both modes fire the same notify and the same immediate
reject — they differ only in how the decision comes back:
- **`enforce`** (default) — resolution comes from an out-of-band channel the agent
cannot write to itself: the matrix-hitl-bot endpoint or `scoped-mcp hitl approve
<id>`. Correct mode for headless / clone-pool agents that run unattended.
- **`interactive`** — for an agent working live in a session with the operator
watching the transcript. Registers a companion tool,
**`scoped_mcp_hitl_confirm(approval_id, decision)`**, *only* for interactive-mode
agents that gate tools, so the agent can resolve its own pending request in one
step after an explicit in-conversation approve/deny — no Matrix round-trip. It
reuses the same `hitl_endpoint.approve`/`deny` logic as the bot path, and every
resolution is tagged in the audit trail with a `resolved_via` channel
(`matrix_bot` / `courier` / `interactive_self_service`) so the two paths are
always distinguishable after the fact.
> **Trust tradeoff.** `scoped_mcp_hitl_confirm` trusts the agent's own report that
> the operator approved in the current turn — it does not cryptographically verify
> an out-of-band decision. Because scoped-mcp runs as one shared long-lived process
> per agent, the registration gate is a static manifest field: it cannot tell an
> attended session apart from a headless run of the same agent identity. **Only
> enable `interactive` for agents that are never run headless/unattended** — flipping
> it for an agent that is ever launched headless-auto turns this into a self-approval
> bypass. `enforce` remains correct for any agent that might run unattended.
**Agent session registry** (v1.9.0, optional `[postgres]` extra) — a
fail-open `asyncpg` DAL (`registry_db.py`) over a session registry on
`agent-postgres`, configured via `AGENT_REGISTRY_DSN`
(e.g. `postgresql://registry:***@127.0.0.1:5433/agent_registry`). Disabled
by default; unset ⇒ every registry call is a no-op. The first consumer is
the HITL audit trail (`hitl_approvals`) — it stores only the OTP **hash**,
never the plaintext. This is deliberately the opposite failure mode from the
Dragonfly-backed gate above: the registry is a paper trail, so a down
database must never block an approval decision. Install with
`pip install scoped-mcp[postgres]`; apply
`migrations/0001_agent_session_registry.sql` before setting the DSN.
- **Response filtering** (v1.0.2) — opt-in post-execution content scanning.
`block`, `warn`, or `redact` modes applied per-field via `ResponseFilterRule`
entries in the manifest's `audit:` section. Redaction applies to string leaves
in structured responses only — never to serialized dict/list blobs. See
`contrib/response_filter.py`.
---
## Non-Goals
- **Not an enterprise gateway** — no OAuth, no multi-tenant SaaS, no Kubernetes. For self-hosters running multi-agent setups.
- **Not a policy engine** — no prompt injection detection, no tool call classification.
- **Not a process manager** — one MCP server that an agent connects to. Spawning agents is your orchestrator's job.
- **Not E2EE** — the Matrix module supports unencrypted rooms only (no libolm dependency).
---
## Installation
```bash
# Core only (filesystem + sqlite + notifications require no extras)
pip install scoped-mcp
# With HTTP client modules (http_proxy, grafana, influxdb, ntfy, matrix, slack, discord)
pip install "scoped-mcp[http]"
# With SMTP support
pip install "scoped-mcp[smtp]"
# With SQLite async support
pip install "scoped-mcp[sqlite]"
# With OpenTelemetry tracing (auto-enabled when OTEL_EXPORTER_OTLP_ENDPOINT is set)
pip install "scoped-mcp[otel]"
# With shared state backend for rate limiting and HITL across processes
pip install "scoped-mcp[dragonfly]"
# With HashiCorp Vault credential source
pip install "scoped-mcp[vault]"
# With the agent session registry (HITL audit trail on agent-postgres)
pip install "scoped-mcp[postgres]"
# HTTP + SMTP + SQLite bundle (does not include otel, dragonfly, postgres, or vault)
pip install "scoped-mcp[all]"
```
If something isn't working, see [Troubleshooting](docs/troubleshooting.md).
## License
MIT
MCP Config
Below is the configuration for this MCP Server. You can copy it directly to Cursor or other MCP clients.
mcp.json
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