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Glama

STRING-db MCP Server

get_interaction_network

Generate and analyze protein-protein interaction networks using a list of protein IDs, species, network type, and confidence scores. Explore functional or physical connections to study biological relationships and pathways.

Instructions

Build and analyze protein interaction network for multiple proteins

Input Schema

NameRequiredDescriptionDefault
add_nodesNoNumber of additional interacting proteins to add (default: 0)
network_typeNoType of network to build (default: functional)
protein_idsYesList of protein identifiers
required_scoreNoMinimum interaction confidence score (0-1000, default: 400)
speciesNoSpecies name or NCBI taxonomy ID (default: 9606 for human)

Input Schema (JSON Schema)

{ "properties": { "add_nodes": { "description": "Number of additional interacting proteins to add (default: 0)", "maximum": 100, "minimum": 0, "type": "number" }, "network_type": { "description": "Type of network to build (default: functional)", "enum": [ "functional", "physical" ], "type": "string" }, "protein_ids": { "description": "List of protein identifiers", "items": { "type": "string" }, "type": "array" }, "required_score": { "description": "Minimum interaction confidence score (0-1000, default: 400)", "maximum": 1000, "minimum": 0, "type": "number" }, "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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