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Glama

STRING Database MCP Server

Server Details

Query STRING interactions, enrichment, annotations, homology, and PPI networks.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
meringlab/string-mcp
GitHub Stars
5

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MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

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Tool DescriptionsA

Average 4.2/5 across 17 of 17 tools scored. Lowest: 2.6/5.

Server CoherenceA
Disambiguation4/5

Most tools have clearly distinct purposes (e.g., enrichment vs. functional annotation vs. homology). However, the network-related tools (string_interactions_query_set, string_network_link, string_visual_network) overlap in retrieving interaction data, differing only in output format. Also, string_interaction_evidence and string_interactions_query_set could cause confusion. Overall, the distinctions are mostly clear.

Naming Consistency3/5

The naming convention is mostly 'string_' + verb_noun (e.g., string_create_file, string_resolve_proteins). However, there are inconsistencies: string_proteins_for_term uses noun_verb order, string_help is a single word, and some use singular vs. plural (interaction_evidence vs. interactions_query_set). The pattern is recognizable but not perfectly consistent.

Tool Count4/5

With 17 tools, the count is slightly above the typical ideal range (3-15) but still reasonable for a comprehensive analysis server. Each tool serves a distinct function in the STRING workflow, and no tool feels redundant. The scope is well-scoped for the complexity of protein interaction analysis.

Completeness4/5

The tool set covers the key workflows: species lookup, protein resolution, sequence search, interactions, networks, enrichment, clustering, homology, functional annotation, evidence retrieval, and file export. Minor gaps exist, such as lack of network comparison or direct download of full data tables, but the core functionalities are present and well-integrated.

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