Content
# SourceSync.ai MCP Server
[](https://smithery.ai/server/@pbteja1998/sourcesyncai-mcp)
A Model Context Protocol (MCP) server implementation for the [SourceSync.ai](https://sourcesync.ai) API. This server allows AI models to interact with SourceSync.ai's knowledge management platform through a standardized interface.
## Features
- Manage namespaces for organizing knowledge
- Ingest content from various sources (text, URLs, websites, external services)
- Retrieve, update, and manage documents stored in your knowledge base
- Perform semantic and hybrid searches against your knowledge base
- Access document content directly from parsed text URLs
- Manage connections to external services
- Default configuration support for seamless AI integration
## Installation
### Running with npx
```bash
# Install and run with your API key and tenant ID
env SOURCESYNC_API_KEY=your_api_key npx -y sourcesyncai-mcp
```
### Installing via Smithery
To install sourcesyncai-mcp for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@pbteja1998/sourcesyncai-mcp):
```bash
npx -y @smithery/cli install @pbteja1998/sourcesyncai-mcp --client claude
```
### Manual Installation
```bash
# Clone the repository
git clone https://github.com/yourusername/sourcesyncai-mcp.git
cd sourcesyncai-mcp
# Install dependencies
npm install
# Build the project
npm run build
# Run the server
node dist/index.js
```
### Running on Cursor
To configure SourceSync.ai MCP in Cursor:
1. Open Cursor Settings
1. Go to `Features > MCP Servers`
1. Click `+ Add New MCP Server`
1. Enter the following:
- Name: `sourcesyncai-mcp` (or your preferred name)
- Type: `command`
- Command: `env SOURCESYNCAI_API_KEY=your-api-key npx -y sourcesyncai-mcp`
After adding, you can use SourceSync.ai tools with Cursor's AI features by describing your knowledge management needs.
### Running on Windsurf
Add this to your `./codeium/windsurf/model_config.json`:
```json
{
"mcpServers": {
"sourcesyncai-mcp": {
"command": "npx",
"args": ["-y", "soucesyncai-mcp"],
"env": {
"SOURCESYNC_API_KEY": "your_api_key",
"SOURCESYNC_NAMESPACE_ID": "your_namespace_id",
"SOURCESYNC_TENANT_ID": "your_tenant_id"
}
}
}
}
```
### Running on Claude Desktop
To use this MCP server with Claude Desktop:
1. Locate the Claude Desktop configuration file:
- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`
- **Linux**: `~/.config/Claude/claude_desktop_config.json`
2. Edit the configuration file to add the SourceSync.ai MCP server:
```json
{
"mcpServers": {
"sourcesyncai-mcp": {
"command": "npx",
"args": ["-y", "sourcesyncai-mcp"],
"env": {
"SOURCESYNC_API_KEY": "your_api_key",
"SOURCESYNC_NAMESPACE_ID": "your_namespace_id",
"SOURCESYNC_TENANT_ID": "your_tenant_id"
}
}
}
}
```
3. Save the configuration file and restart Claude Desktop
## Configuration
### Environment Variables
#### Required
- `SOURCESYNC_API_KEY`: Your SourceSync.ai API key (required)
#### Optional
- `SOURCESYNC_NAMESPACE_ID`: Default namespace ID to use for operations
- `SOURCESYNC_TENANT_ID`: Your tenant ID (optional)
### Configuration Examples
Basic configuration with default values:
```bash
export SOURCESYNC_API_KEY=your_api_key
export SOURCESYNC_TENANT_ID=your_tenant_id
export SOURCESYNC_NAMESPACE_ID=your_namespace_id
```
## Available Tools
### Authentication
- `validate_api_key`: Validate a SourceSync.ai API key
```json
{
"name": "validate_api_key",
"arguments": {}
}
```
### Namespaces
- `create_namespace`: Create a new namespace
- `list_namespaces`: List all namespaces
- `get_namespace`: Get details of a specific namespace
- `update_namespace`: Update a namespace
- `delete_namespace`: Delete a namespace
```json
{
"name": "create_namespace",
"arguments": {
"name": "my-namespace",
"fileStorageConfig": {
"provider": "S3_COMPATIBLE",
"config": {
"endpoint": "s3.amazonaws.com",
"accessKey": "your_access_key",
"secretKey": "your_secret_key",
"bucket": "your_bucket",
"region": "us-east-1"
}
},
"vectorStorageConfig": {
"provider": "PINECONE",
"config": {
"apiKey": "your_pinecone_api_key",
"environment": "your_environment",
"index": "your_index"
}
},
"embeddingModelConfig": {
"provider": "OPENAI",
"config": {
"apiKey": "your_openai_api_key",
"model": "text-embedding-3-small"
}
},
"tenantId": "tenant_XXX"
}
}
```
```json
{
"name": "list_namespaces",
"arguments": {
"tenantId": "tenant_XXX"
}
}
```
```json
{
"name": "get_namespace",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX"
}
}
```
```json
{
"name": "update_namespace",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX",
"name": "updated-namespace-name"
}
}
```
```json
{
"name": "delete_namespace",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX"
}
}
```
### Data Ingestion
- `ingest_text`: Ingest text content
- `ingest_urls`: Ingest content from URLs
- `ingest_sitemap`: Ingest content from a sitemap
- `ingest_website`: Ingest content from a website
- `ingest_notion`: Ingest content from Notion
- `ingest_google_drive`: Ingest content from Google Drive
- `ingest_dropbox`: Ingest content from Dropbox
- `ingest_onedrive`: Ingest content from OneDrive
- `ingest_box`: Ingest content from Box
- `get_ingest_job_run_status`: Get the status of an ingestion job run
```json
{
"name": "ingest_text",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "TEXT",
"config": {
"name": "example-document",
"text": "This is an example document for ingestion.",
"metadata": {
"category": "example",
"author": "AI Assistant"
}
}
},
"tenantId": "tenant_XXX"
}
}
```
```json
{
"name": "ingest_urls",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "URLS",
"config": {
"urls": ["https://example.com/page1", "https://example.com/page2"],
"metadata": {
"source": "web",
"category": "documentation"
}
}
},
"tenantId": "tenant_XXX"
}
}
```
```json
{
"name": "ingest_sitemap",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "SITEMAP",
"config": {
"url": "https://example.com/sitemap.xml",
"metadata": {
"source": "sitemap",
"website": "example.com"
}
}
},
"tenantId": "tenant_XXX"
}
}
```
```json
{
"name": "ingest_website",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "WEBSITE",
"config": {
"url": "https://example.com",
"maxDepth": 3,
"maxPages": 100,
"metadata": {
"source": "website",
"domain": "example.com"
}
}
},
"tenantId": "tenant_XXX"
}
}
```
```json
{
"name": "ingest_notion",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "NOTION",
"config": {
"connectionId": "your_notion_connection_id",
"metadata": {
"source": "notion",
"workspace": "My Workspace"
}
}
},
"tenantId": "your_tenant_id"
}
}
```
```json
{
"name": "ingest_google_drive",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "GOOGLE_DRIVE",
"config": {
"connectionId": "connection_XXX",
"metadata": {
"source": "google_drive",
"owner": "user@example.com"
}
}
},
"tenantId": "tenant_XXX"
}
}
```
```json
{
"name": "ingest_dropbox",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "DROPBOX",
"config": {
"connectionId": "connection_XXX",
"metadata": {
"source": "dropbox",
"account": "user@example.com"
}
}
},
"tenantId": "tenant_XXX"
}
}
```
```json
{
"name": "ingest_onedrive",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "ONEDRIVE",
"config": {
"connectionId": "connection_XXX",
"metadata": {
"source": "onedrive",
"account": "user@example.com"
}
}
},
"tenantId": "tenant_XXX"
}
}
```
```json
{
"name": "ingest_box",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestConfig": {
"source": "BOX",
"config": {
"connectionId": "connection_XXX",
"metadata": {
"source": "box",
"owner": "user@example.com"
}
}
},
"tenantId": "tenant_XXX"
}
}
```
```json
{
"name": "get_ingest_job_run_status",
"arguments": {
"namespaceId": "your_namespace_id",
"ingestJobRunId": "ingest_job_run_XXX",
"tenantId": "tenant_XXX"
}
}
```
### Documents
- `getDocuments`: Retrieve documents with optional filters
- `updateDocuments`: Update document metadata
- `deleteDocuments`: Delete documents
- `resyncDocuments`: Resync documents
- `fetchUrlContent`: Fetch text content from document URLs
```json
{
"name": "getDocuments",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX",
"filterConfig": {
"documentTypes": ["PDF"]
},
"includeConfig": {
"parsedTextFileUrl": true
}
}
}
```
```json
{
"name": "updateDocuments",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX",
"documentIds": ["doc_XXX", "doc_YYY"],
"filterConfig": {
"documentIds": ["doc_XXX", "doc_YYY"]
},
"data": {
"metadata": {
"status": "reviewed",
"category": "technical"
}
}
}
}
```
```json
{
"name": "deleteDocuments",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX",
"documentIds": ["doc_XXX", "doc_YYY"],
"filterConfig": {
"documentIds": ["doc_XXX", "doc_YYY"]
}
}
}
```
```json
{
"name": "resyncDocuments",
"arguments": {
"namespaceId": "namespace_XXX",
"tenantId": "tenant_XXX",
"documentIds": ["doc_XXX", "doc_YYY"],
"filterConfig": {
"documentIds": ["doc_XXX", "doc_YYY"]
}
}
}
```
```json
{
"name": "fetchUrlContent",
"arguments": {
"url": "https://api.sourcesync.ai/v1/documents/doc_XXX/content?format=text",
"apiKey": "your_api_key",
"tenantId": "tenant_XXX"
}
}
```
### Search
- `semantic_search`: Perform semantic search
- `hybrid_search`: Perform hybrid search (semantic + keyword)
```json
{
"name": "semantic_search",
"arguments": {
"namespaceId": "your_namespace_id",
"query": "example document",
"topK": 5,
"tenantId": "tenant_XXX"
}
}
```
```json
{
"name": "hybrid_search",
"arguments": {
"namespaceId": "your_namespace_id",
"query": "example document",
"topK": 5,
"tenantId": "tenant_XXX",
"hybridConfig": {
"semanticWeight": 0.7,
"keywordWeight": 0.3
}
}
}
```
### Connections
- `create_connection`: Create a new connection to an external service
- `list_connections`: List all connections
- `get_connection`: Get details of a specific connection
- `update_connection`: Update a connection
- `revoke_connection`: Revoke a connection
```json
{
"name": "create_connection",
"arguments": {
"tenantId": "tenant_XXX",
"namespaceId": "namespace_XXX",
"name": "My Connection",
"connector": "GOOGLE_DRIVE",
"clientRedirectUrl": "https://your-app.com/callback"
}
}
```
```json
{
"name": "list_connections",
"arguments": {
"tenantId": "tenant_XXX",
"namespaceId": "namespace_XXX"
}
}
```
```json
{
"name": "get_connection",
"arguments": {
"tenantId": "tenant_XXX",
"namespaceId": "namespace_XXX",
"connectionId": "connection_XXX"
}
}
```
```json
{
"name": "update_connection",
"arguments": {
"tenantId": "tenant_XXX",
"namespaceId": "namespace_XXX",
"connectionId": "connection_XXX",
"name": "Updated Connection Name",
"clientRedirectUrl": "https://your-app.com/updated-callback"
}
}
```
```json
{
"name": "revoke_connection",
"arguments": {
"tenantId": "tenant_XXX",
"namespaceId": "namespace_XXX",
"connectionId": "connection_XXX"
}
}
```
## Example Prompts
Here are some example prompts you can use with Claude or Cursor after configuring the MCP server:
- "Search my SourceSync knowledge base for information about machine learning."
- "Ingest this article into my SourceSync knowledge base: [URL]"
- "Create a new namespace in SourceSync for my project documentation."
- "List all the documents in my SourceSync namespace."
- "Get the text content of document [document_id] from my SourceSync namespace."
## Troubleshooting
### Connection Issues
If you encounter issues connecting the SourceSync.ai MCP server:
1. **Verify Paths**: Ensure all paths in your configuration are absolute paths, not relative.
2. **Check Permissions**: Ensure the server file has execution permissions (`chmod +x dist/index.js`).
3. **Enable Developer Mode**: In Claude Desktop, enable Developer Mode and check the MCP Log File.
4. **Test the Server**: Run the server directly from the command line:
```bash
node /path/to/sourcesyncai-mcp/dist/index.js
```
5. **Restart AI Client**: After making changes, completely restart Claude Desktop or Cursor.
6. **Check Environment Variables**: Ensure all required environment variables are correctly set.
### Debug Logging
For detailed logging, add the DEBUG environment variable:
```
```
## Development
### Project Structure
- `src/index.ts`: Main entry point and server setup
- `src/schemas.ts`: Schema definitions for all tools
- `src/sourcesync.ts`: Client for interacting with SourceSync.ai API
- `src/sourcesync.types.ts`: TypeScript type definitions
### Building and Testing
```bash
# Build the project
npm run build
# Run tests
npm test
```
## License
MIT
## Links
- [SourceSync.ai Documentation](https://sourcesync.ai)
- [SourceSync.ai API Reference](https://sourcesync.ai/api-reference/authentication)
- [Model Context Protocol](https://modelcontextprotocol.io/introduction)
Document content retrieval workflow:
1. First, use `getDocuments` with `includeConfig.parsedTextFileUrl: true` to get documents with their content URLs
2. Extract the URL from the document response
3. Use `fetchUrlContent` to retrieve the actual content:
```json
{
"name": "fetchUrlContent",
"arguments": {
"url": "https://example.com"
}
}
```
