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Glama

STRING-db MCP Server

get_functional_enrichment

Identify enriched biological functions and pathways in a protein set using the STRING database, with optional background comparison. Input protein IDs and species for targeted analysis.

Instructions

Perform functional enrichment analysis on a set of proteins

Input Schema

NameRequiredDescriptionDefault
background_string_identifiersNoBackground protein set for enrichment (optional)
protein_idsYesList of protein identifiers
speciesNoSpecies name or NCBI taxonomy ID (default: 9606 for human)

Input Schema (JSON Schema)

{ "properties": { "background_string_identifiers": { "description": "Background protein set for enrichment (optional)", "items": { "type": "string" }, "type": "array" }, "protein_ids": { "description": "List of protein identifiers", "items": { "type": "string" }, "type": "array" }, "species": { "description": "Species name or NCBI taxonomy ID (default: 9606 for human)", "type": "string" } }, "required": [ "protein_ids" ], "type": "object" }

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Augmented-Nature/STRING-db-MCP-Server'

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