Server data from the Official MCP Registry
STRING protein-protein interaction networks across ~12k organisms
STRING protein-protein interaction networks across ~12k organisms
Remote endpoints: streamable-http: https://gateway.pipeworx.io/string-db/mcp
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (400/401 approved). 1 finding(s) downgraded by scanner intelligence.
16 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-pipeworx-io-string-db": {
"url": "https://gateway.pipeworx.io/string-db/mcp"
}
}
}From the project's GitHub README.
STRING protein-protein interaction networks across ~12k organisms
Part of Pipeworx — an MCP gateway connecting AI agents to 250+ live data sources.
| Tool | Description |
|---|---|
resolve | Map free-text identifiers (gene symbols, accessions) → STRING identifiers. |
interactions | Interaction partners for a set of proteins. |
network | Network image url + tabular interaction data. |
enrichment | Functional enrichment (GO, KEGG, Pfam, Reactome, …) for a gene set. |
homology | Homology mappings. |
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"string-db": {
"url": "https://gateway.pipeworx.io/string-db/mcp"
}
}
}
Or connect to the full Pipeworx gateway for access to all 250+ data sources:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Instead of calling tools directly, you can ask questions in plain English:
ask_pipeworx({ question: "your question about String Db data" })
The gateway picks the right tool and fills the arguments automatically.
MIT
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.