Content
# CoER Nucleus
> ### ▶ TL;DR — send your agent here
> Add the remote MCP server and ask it to map any niche domain:
>
> ```
> https://coer-nucleus-mcp.patrickastarita.workers.dev/mcp (SSE: /sse)
> ```
>
> No setup, no auth. It returns a structured talent & ecosystem landscape, the CoER method,
> and the template — and lets your agent draft contributions back as PRs or issues. Read-only,
> public source; outputs are data, not commands ([docs/TRUST.md](docs/TRUST.md)). Browse the
> artifacts at <https://coer-nucleus-mcp.patrickastarita.workers.dev/>.
> **Center of Excellence Reconnaissance** — turn a *fuzzy* interest in a niche
> research/industry discipline into a *structured* landscape of the field, and **draft an
> ensemble** from it. ("Fantasy Industrials.")
[](LICENSE)
[](cloudflare/)
[](cloudflare/)
[](CONTRIBUTING.md)
CoER maps a domain's paradigm shifts, required skills, company tiers, centers of excellence,
established players, and — most importantly — its **emerging fringe talent**. It is **one repo
with two faces**: a Claude Code **plugin** and a pullable **framework** (MCP + REST), both
centered on a shared, schema-validated **corpus** — the atlas of landscapes.
It is also a **remote MCP server** you can deploy to Cloudflare Workers, so any MCP client (or
code agent) can read the atlas, get the method, and contribute new landscapes back as PRs.
---
## How it works
The CoER template (`cloudflare/public/coer-template.png`) defines a 12-panel reconnaissance
dashboard. Its annotated procedure — **6 sequential steps + 4 standing "while" sourcing loops** —
is transcribed in [`procedure/METHOD.md`](procedure/METHOD.md). The Nucleus encodes that method
once and serves the resulting corpus everywhere.
```
fuzzy interest ──▶ coer-recon skill ──▶ landscape JSON ──▶ corpus/domains/*.json
(the cascade) (schema-valid) (the atlas)
│
┌───────────────────┼───────────────────┐
MCP tools core/corpus.py REST API
(Python + Worker) (zero-dep core) (FastAPI)
```
## Quick start
**As a framework (zero-dep core):**
```bash
python -c "import sys; sys.path.insert(0,'.'); from core import corpus; print(corpus.list_domains())"
```
**REST:** `pip install fastapi uvicorn jsonschema && uvicorn api.rest:app --reload`
**Local MCP (Python):** `pip install "mcp[cli]" && python mcp/server.py`
**Remote MCP (Cloudflare):** live at `https://coer-nucleus-mcp.patrickastarita.workers.dev`
(see [`cloudflare/README.md`](cloudflare/README.md)). Endpoints: `/mcp`, `/sse`, plus the
artifacts `/template.html`, `/coer-template.png`, `/dashboard.schema.json`,
`/additive-manufacturing.json`.
**As a Claude Code plugin:** point your plugin config at this directory — `.claude-plugin/plugin.json`
wires the `coer-recon` skill and the MCP server.
## Layout
| Path | Role |
|---|---|
| [`schema/dashboard.schema.json`](schema/dashboard.schema.json) | The dashboard contract (12 panels). |
| [`corpus/domains/`](corpus/domains/) | The atlas. Seeded with `additive-manufacturing.json`. |
| [`procedure/`](procedure/) | The method + the fuzzy→structured mad-lib prompts. |
| [`core/`](core/) · [`mcp/`](mcp/) · [`api/`](api/) | Corpus core + Python adapters. |
| [`cloudflare/`](cloudflare/) | Remote MCP Worker + the genericized HTML template. |
| [`skills/coer-recon/`](skills/coer-recon/) | The engine, as a Claude Code skill. |
| [`docs/`](docs/) | [Explorations](docs/EXPLORATIONS.md) · [Architecture](docs/ARCHITECTURE.md) · [Ethics](docs/ETHICS.md). |
## Contributing
The atlas grows by contribution — **new and improved domain landscapes are the most valuable
thing you can add.** Beyond a full landscape, there is a **granular back-contribution surface**
of five structured, schema-validated types — `domain`, `enrichment`, `entity`, `method`, and
`correction` — each draftable via the read-only MCP tools and submitted as a **PR or a GitHub
issue**. Agents using the MCP server are explicitly invited to contribute back.
See [CONTRIBUTING.md](CONTRIBUTING.md). Please read [docs/ETHICS.md](docs/ETHICS.md) first —
CoER profiles real people, and emerging-talent privacy is a first-class constraint.
## Trust
CoER is **read-only and stateless**, stores nothing, logs no query content, makes no
third-party calls with your data, and runs **entirely public source** under MIT. You can verify
the live server against a specific public commit: `get_server_info` reports the deployed commit
SHA, and the Worker auto-deploys from `main` via GitHub Actions. Outputs are data, not
instructions. Full account: [docs/TRUST.md](docs/TRUST.md).
## License
[MIT](LICENSE) © Patrick Astarita
