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SourceSync.ai MCP Server

by scmdr

SourceSync.ai MCP Server

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A Model Context Protocol (MCP) server implementation for the 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

# 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:

npx -y @smithery/cli install @pbteja1998/sourcesyncai-mcp --client claude

Manual Installation

# 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

  2. Go to Features > MCP Servers

  3. Click + Add New MCP Server

  4. 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:

{ "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:

{ "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" } } } }
  1. 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:

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

{ "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

{ "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" } }
{ "name": "list_namespaces", "arguments": { "tenantId": "tenant_XXX" } }
{ "name": "get_namespace", "arguments": { "namespaceId": "namespace_XXX", "tenantId": "tenant_XXX" } }
{ "name": "update_namespace", "arguments": { "namespaceId": "namespace_XXX", "tenantId": "tenant_XXX", "name": "updated-namespace-name" } }
{ "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

{ "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" } }
{ "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" } }
{ "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" } }
{ "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" } }
{ "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" } }
{ "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" } }
{ "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" } }
{ "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" } }
{ "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" } }
{ "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

{ "name": "getDocuments", "arguments": { "namespaceId": "namespace_XXX", "tenantId": "tenant_XXX", "filterConfig": { "documentTypes": ["PDF"] }, "includeConfig": { "parsedTextFileUrl": true } } }
{ "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" } } } }
{ "name": "deleteDocuments", "arguments": { "namespaceId": "namespace_XXX", "tenantId": "tenant_XXX", "documentIds": ["doc_XXX", "doc_YYY"], "filterConfig": { "documentIds": ["doc_XXX", "doc_YYY"] } } }
{ "name": "resyncDocuments", "arguments": { "namespaceId": "namespace_XXX", "tenantId": "tenant_XXX", "documentIds": ["doc_XXX", "doc_YYY"], "filterConfig": { "documentIds": ["doc_XXX", "doc_YYY"] } } }
{ "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)

{ "name": "semantic_search", "arguments": { "namespaceId": "your_namespace_id", "query": "example document", "topK": 5, "tenantId": "tenant_XXX" } }
{ "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

{ "name": "create_connection", "arguments": { "tenantId": "tenant_XXX", "namespaceId": "namespace_XXX", "name": "My Connection", "connector": "GOOGLE_DRIVE", "clientRedirectUrl": "https://your-app.com/callback" } }
{ "name": "list_connections", "arguments": { "tenantId": "tenant_XXX", "namespaceId": "namespace_XXX" } }
{ "name": "get_connection", "arguments": { "tenantId": "tenant_XXX", "namespaceId": "namespace_XXX", "connectionId": "connection_XXX" } }
{ "name": "update_connection", "arguments": { "tenantId": "tenant_XXX", "namespaceId": "namespace_XXX", "connectionId": "connection_XXX", "name": "Updated Connection Name", "clientRedirectUrl": "https://your-app.com/updated-callback" } }
{ "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:

    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

# Build the project npm run build # Run tests npm test

License

MIT

Links

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:

{ "name": "fetchUrlContent", "arguments": { "url": "https://example.com" } }

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