STRING Database MCP Server
Query STRING interactions, enrichment, annotations, homology, and PPI networks.
What can you do with STRING Database MCP Server?
- Resolve protein identifiers to STRING metadata
- Retrieve interaction networks
- Cluster and visualize interaction networks
- Perform homology lookups across species
- Access evidence links for protein–protein interactions
- Run functional enrichment analysis (including enrichment plots)
- Get curated functional annotations for proteins
- Query proteins by function or disease (GO, KEGG, Reactome, DISEASES etc.)
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http string-database-mcp-server 'https://mcp.string-db.org/'
{
"mcpServers": {
"string-database-mcp-server": {
"type": "http",
"url": "https://mcp.string-db.org/"
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
Official STRING Database MCP Server
Exposes STRING database functionality as a Model Context Protocol (MCP) server.
This implementation allows AI agents and other MCP-compatible clients to access STRING data through a structured and self-describing interface.
It is built on top of the STRING API but adapted specifically for model-based use, with emphasis on conciseness and context efficiency. The server controls the amount and type of data so that responses stay within the reasoning limits of large language models. It also adapts the structure and adds metadata to support more consistent parsing and interpretation by agentic systems.
The server is also available as a hosted remote MCP endpoint at https://mcp.string-db.org.
For a live demonstration of MCP capabilities, see STRING Chat.
For reproducible workflows and large-scale integration, use the STRING API.
For agentic workflows, use the optional agent skill at skills/string-database/SKILL.md.
Features
- Resolve protein identifiers to STRING metadata
- Retrieve interaction networks
- Cluster and visualize interaction networks
- Perform homology lookups across species
- Access evidence links for protein–protein interactions
- Run functional enrichment analysis (including enrichment plots)
- Get curated functional annotations for proteins
- Query proteins by function or disease (GO, KEGG, Reactome, DISEASES etc.)
Requirements
- Python ≥ 3.11 (with Python 3.10, optional parameter descriptions are misplaced in the tool schemas)
- Dependencies (see
requirements.txt):fastmcp==2.14.7mcp==1.29.0httpx>=0.28,<0.29pydantic>=2.11,<3.0
Note: If the server crashes on startup, it is very likely due to an incompatible FastMCP version.
Configuration
The server reads settings from config/server.config (JSON). Example:
{
"base_url": "https://string-db.org",
"server_port": 57416,
"verbosity": "low"
}
Installation
git clone https://github.com/meringlab/string-mcp.git
cd string-mcp
pip install -r requirements.txt
Running
python server.py
To serve over standard input/output instead of HTTP, for example when a local MCP client starts the server itself:
python server.py --stdio
The stdio mode also reads config/server.config for the STRING API endpoint.
Testing
curl -v -H "Accept: text/event-stream" http://localhost:[port]/mcp
You should see a 200 OK response with content-type: text/event-stream.
Note: HTTP requests sent with default headers will trigger anyio.ClosedResourceError and 406 Not Acceptable. This is expected behavior for the MCP streaming protocol and does not indicate a problem.
Docker
- Ensure you have a
config/server.configfile (copy fromconfig/server.config.exampleif needed):cp config/server.config.example config/server.config - Build the image:
docker build -t string-mcp . Run the container:
Linux/macOS:
docker run -p 57416:57416 -v $(pwd)/config:/app/config:ro string-mcpWindows PowerShell:
docker run -p 57416:57416 -v ${PWD}/config:/app/config:ro string-mcpWindows Command Prompt:
docker run -p 57416:57416 -v %cd%/config:/app/config:ro string-mcpTo run in detached mode:
# Linux/macOS docker run -d -p 57416:57416 -v $(pwd)/config:/app/config:ro --name string-mcp-server string-mcp # Windows PowerShell docker run -d -p 57416:57416 -v ${PWD}/config:/app/config:ro --name string-mcp-server string-mcpThe
-vflag mounts your local config directory so you can customize settings without rebuilding the image.Note: If you don't need to modify the config, you can omit the volume mount and the container will use the default config from the image.
- Stop the container (if running in detached mode):
docker stop string-mcp-server docker rm string-mcp-server
Note: The Docker container will use the configuration from config/server.config. If this file doesn't exist, the container will copy from server.config.example on first run.
Frozen STRING releases are available under versioned paths: /12.0/ (STRING v12.0) and /12.5/ (STRING v12.5).
License / Citation
The STRING MCP server source code is released under the MIT License.
Associated data and outputs are released under the CC BY 4.0 License.
You are free to use, share, and modify the code with proper attribution.
If you use this code or data in your work, please also cite the latest STRING manuscript.
Frequently asked questions
What is STRING Database MCP Server?
Query STRING interactions, enrichment, annotations, homology, and PPI networks.
How do I install STRING Database MCP Server?
It runs as a remote server. In Claude Code: claude mcp add --transport http string-database-mcp-server 'https://mcp.string-db.org/'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does STRING Database MCP Server need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is STRING Database MCP Server open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains STRING Database MCP Server?
It is published by meringlab. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.