This MCP server exposes the STRING protein interaction data via six main tools and six resource templates. The tools include get_protein_interactions for fetching direct partners with confidence scores and evidence types; get_interaction_network to construct and analyze networks for multiple proteins; get_functional_enrichment for GO, KEGG, and other annotations; get_protein_annotations for detailed protein information; find_homologs to locate homologous proteins across species; and search_proteins to query proteins by name or identifier across species. These tools feed into the six resource templates, delivering string://network, string://enrichment, string://interactions, string://homologs, string://annotations, and string://species data streams that you can query or embed in your workflows.

To use the server, you typically load it into your MCP frontend or Claude-style environment by specifying the executable and path to the built server. For example, you would point your client at node /path/to/string-server/build/index.js and call the provided tools with appropriate protein identifiers or protein sets. The server integrates with the STRING REST API to fetch interaction data, annotations, and cross-species homology, and it supports several evidence types with confidence scores to help you filter results for downstream analyses.

Prerequisites:

• Node.js (v14+ recommended) and npm
• Access to the internet to install dependencies from npm registry
• A working MCP client or environment to host the MCP server

Installation steps:

1. Clone the repository or download the release: git clone https://github.com/Augmented-Nature/STRING-db-MCP-Server.git cd STRING-db-MCP-Server

2. Install dependencies: npm install

3. Build the server (if a build step exists per project): npm run build

4. Run the server in development or production mode as appropriate:

   Development

   npm run dev

   Production (assuming build output exists)

   npm start

5. Point your MCP client at the server entry point, for example:

   • Command: node
   • Args: ["/path/to/string-server/build/index.js"]

Optional configuration:

• Configure environment variables for STRING API access if required by the server (e.g., API keys, rate limits).
• Adjust server listening port and host in your MCP orchestration if supported by your deployment environment.

Tips and caveats:

• Ensure you have network access to the STRING API and that any required API keys or rate-limiting considerations are handled by the environment running the MCP server.
• The server outputs data streams via the defined string:// templates; validate that your MCP client properly handles large networks or enrichment results to avoid timeouts.
• When performing large enrichment analyses, consider using batch queries and caching intermediate results to minimize repeated API calls.
• If you encounter errors with protein identifiers, verify they match STRING's accepted formats (e.g., UniProt IDs, gene symbols per species) and consider pre-normalizing inputs.
• Monitor resource usage (memory/CPU) for big network construction tasks and enable appropriate logging for debugging.