STRING-MCP
Related Servers
Alternatives to STRING-MCP
No user-submitted related servers found.
Related Servers
- FlicenseBqualityDmaintenanceA comprehensive Model Context Protocol (MCP) server for accessing the STRING protein interaction database. This server provides powerful tools for protein network analysis, functional enrichment, and comparative genomics through the STRING API.64-
- AlicenseBqualityDmaintenanceProvides access to the STRING protein-protein interaction database for mapping identifiers, retrieving interaction networks, and performing functional enrichment analysis. It enables users to explore protein partners, pathways, and cross-species homology through natural language interactions.91ISC
- AlicenseNot gradedqualityBmaintenanceMCP server that exposes STRING database functionality, allowing AI agents to resolve protein identifiers, retrieve interaction networks, perform homology lookups, and run functional enrichment analysis.6MIT
- AlicenseNot gradedqualityCmaintenanceMCP server for STRING-DB that enables querying protein-protein interaction networks, functional enrichment, and homology mappings.4 npmMIT
- FlicenseBqualityDmaintenanceA Model Context Protocol server that enhances language models with protein structure analysis capabilities, enabling detailed active site analysis and disease-related protein searches through established protein databases.218-
- AlicenseBqualityDmaintenanceA comprehensive Model Context Protocol server for accessing Gene Ontology (GO) data, enabling AI systems to perform ontology-based analysis, gene annotation research, and functional enrichment studies.45 npm8MIT
TDQS
Scored across 11 tools
Most tools have clearly distinct purposes, such as get_functional_annotation for annotations and get_network_interactions for edges. However, get_homology and get_homology_best could be confused, as both retrieve homology information with only subtle differences in scope.
All tools follow a consistent verb_noun pattern with 'get_' or 'map_' prefixes, such as get_enrichment_figure and map_identifiers. There are no deviations in naming conventions, making the set highly predictable and readable.
With 11 tools, the count is well-scoped for a protein interaction and enrichment analysis server. Each tool appears to serve a specific, non-redundant function, fitting within the typical 3-15 tool range for such domains.
The tool set covers core protein analysis workflows, including enrichment, homology, interactions, and identifier mapping. A minor gap exists in lacking update or delete operations, but this is reasonable for a retrieval-focused database server, and agents can work around this.