String Db MCP Server

@Augmented-Nature

代码仓库

基本信息

分类

数据库

传输方式

stdio

作者

Augmented-Nature

提交者

Moudather Chelbi

关于 String Db MCP Server

A comprehensive Model Context Protocol (MCP) server for accessing the STRING protein interaction database. This server provides powerful tools for protein network analysis, functional enrichment, and comparative genomics through the STRING API.

#string-db#protein-interaction#genomics

String Db MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

String Db MCP Server 工具

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概览

What is String Db Mcp Server?

A comprehensive Model Context Protocol (MCP) server for accessing the STRING protein interaction database. It provides tools for protein network analysis, functional enrichment, and comparative genomics through the STRING REST API.

How to use String Db Mcp Server?

Install dependencies with npm install, build with npm run build, then configure as an MCP server (e.g., in Claude Desktop) by adding a claude_desktop_config.json entry pointing to the built index.js. The server exposes six tools and six resource templates for querying protein data.

Key features of String Db Mcp Server

Get direct interaction partners with confidence scores
Build and analyze protein interaction networks
Perform functional enrichment via GO terms and KEGG pathways
Find homologous proteins across multiple species
Search proteins by name or identifier
Access structured resources like network and annotation data

Use cases of String Db Mcp Server

Analyze interaction partners for a specific protein (e.g., insulin)
Build interaction networks for a set of signaling proteins
Perform functional enrichment on diabetes-related protein groups
Find homologs of a human protein in mouse and rat
Retrieve detailed annotations for pathway proteins

常见问题

What data does this server access?

It integrates with the STRING Database API (https://string-db.org/), which contains known and predicted protein-protein interactions from curated databases and computational predictions.

What are the runtime requirements?

Node.js is required. The server is built with `npm install && npm run build` and runs as a command-line MCP server using `node <path>/index.js`.

How is data quality ensured?

STRING combines curated databases with computational predictions, integrates multiple evidence types in a probabilistic framework, provides confidence scores (0–1000), and is updated regularly.

What error handling is included?

The server handles invalid protein identifiers, network connectivity issues, API rate limiting, species validation, parameter validation, and malformed requests.

Can this server be used with other MCP tools?

Yes; the README recommends pairing it with UniProt MCP (sequences), PDB MCP (structures), and AlphaFold MCP (predicted structures) for comprehensive protein analysis.

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