SourceSync.ai MCP サーバー

SourceSync.ai MCP Server

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:

Open Cursor Settings
Go to Features > MCP Servers
Click + Add New MCP Server
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:

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
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"
      }
    }
  }
}

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:

Verify Paths: Ensure all paths in your configuration are absolute paths, not relative.
Check Permissions: Ensure the server file has execution permissions (chmod +x dist/index.js).
Enable Developer Mode: In Claude Desktop, enable Developer Mode and check the MCP Log File.
Test the Server: Run the server directly from the command line:
node /path/to/sourcesyncai-mcp/dist/index.js
Restart AI Client: After making changes, completely restart Claude Desktop or Cursor.
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:

First, use getDocuments with includeConfig.parsedTextFileUrl: true to get documents with their content URLs
Extract the URL from the document response
Use fetchUrlContent to retrieve the actual content:

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

Deploy Server

HTTP connection URL

security – no known vulnerabilities

license - not found

quality - confirmed to work

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

View all tools

AI モデルが SourceSync.ai のナレッジ管理プラットフォームと対話してドキュメントを管理し、さまざまなソースからのコンテンツを取り込み、セマンティック検索を実行できるようにするモデルコンテキストプロトコルサーバー。

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Reddit Discussion about this server

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