comunica

Comunica provides MCP wrappers around its querying engines to allow AI agents and other tools to interact with SPARQL and GraphQL endpoints through a standardized MCP interface. This server exposes capabilities to configure and drive Comunica engines, enabling researchers and developers to query decentralized RDF data sources, combine multiple sources, and fetch results in structured formats suitable for agent pipelines. Typical usage involves starting the MCP server and issuing MCP-compliant requests to run queries, retrieve results, and manage configurations for different datasets and sources. The MCP layer integrates with the Comunica querying stack, so you gain access to SPARQL and GraphQL querying, as well as data sources like local RDF files, remote endpoints, and virtual graphs, all orchestrated by the MCP wrapper. Tools exposed by the server include endpoints for configuring queries, loading data sources, and streaming results to clients or agents that coordinate tasks based on query results.

Prerequisites:

• Node.js (≥ 14) and npm/yarn installed
• Basic familiarity with npm modules and CLI usage

Installation steps:

1. Clone the repository or set up your environment with the Comunica MCP server package: git clone https://github.com/comunica/comunica cd comunica

2. Install dependencies: npm install

3. Build or prepare the MCP server entry point if required by the project structure (may involve building packages or compiling TypeScript): npm run build || npm run compile

4. Start the MCP server (adjust path to your actual server entry if needed): node path/to/server.js

5. Verify the server is running by hitting the MCP endpoint (e.g., http://localhost:3000/health or your configured route) and testing a sample MCP request.

Optional: If using a containerized setup, you can adapt the command to a docker run invocation once the image is built.

Tips and common considerations:

• Ensure PORT is set and not blocked by your environment when starting the server.
• Ponteermine: The MCP wrapper may require additional environment variables to configure data sources, authentication, or logging; consult the Comunica MCP docs for specifics.
• If you see missing module errors, ensure you installed all workspace packages in a monorepo setup (npm install from the repo root).
• Use verbose logging during initial runs to understand how the MCP server translates MCP requests into Comunica engine queries.
• For large datasets, consider streaming query results and configuring timeouts to avoid long-hanging requests.
• When upgrading Comunica versions, review breaking changes in the MCP wrappers and adjust your client requests accordingly.