A comprehensive Model Context Protocol server for accessing STRING protein interaction database with network analysis, functional enrichment, and
A comprehensive Model Context Protocol server for accessing STRING protein interaction database with network analysis, functional enrichment, and comparative genomics tools. That is what the string db mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
The server publishes 7 tools. What each one is for:
get_protein_interactions — Get direct interaction partners for a specific protein with confidence scores and evidence typesget_interaction_network — Build and analyze protein interaction networks for multiple proteinsget_functional_enrichment — Perform functional enrichment analysis using GO terms, KEGG pathways, and other annotationsget_protein_annotations — Get detailed protein annotations and functional informationfind_homologs — Find homologous proteins across different species for comparative analysissearch_proteins — Search for proteins by name or identifier across multiple speciesMulti — species support**: Over 5000 organisms supportedThe server ships on npm as npm, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Among the database access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. STRING Db's toolset — get_protein_interactions, get_interaction_network, get_functional_enrichment and 4 more — is a fair guide to whether it matches your workflow. It is maintained by Augmented-Nature; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against STRING Db's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| get_protein_interactions | Get direct interaction partners for a specific protein with confidence scores and evidence types |
| get_interaction_network | Build and analyze protein interaction networks for multiple proteins |
| get_functional_enrichment | Perform functional enrichment analysis using GO terms, KEGG pathways, and other annotations |
| get_protein_annotations | Get detailed protein annotations and functional information |
| find_homologs | Find homologous proteins across different species for comparative analysis |
| search_proteins | Search for proteins by name or identifier across multiple species |
| Multi | species support**: Over 5000 organisms supported |
{
"mcpServers": {
"string-db": {
"command": "npx",
"args": ["-y", "npm"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
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