A
licenseNot graded
qualityC
maintenanceUnified MCP server providing AI-agent-ready access to AlphaFold, PubMed, ChEMBL, Ensembl, and 37+ scientific databases.
MIT
BioMCP
by qgeng1465
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TDQS
B3.1/5.0
Scored across 73 tools
Disambiguation2/5
Multiple tools have nearly interchangeable roles, especially biogrid_interactions vs. biogrid_gene_interactions, hgnc_search vs. hgnc_gene_symbol, and unichem_mapping vs. unichem_structure. Protein interaction data can also be obtained from string_interactions or intact_interactions, while literature search is split across pubmed_search, europepmc_search, and openalex_work_search. Although many database-prefixed searches are distinct, these overlapping boundaries make selection error-prone.
Naming Consistency3/5
Nearly all names use lower_snake_case and most follow a source-prefix pattern, but the action suffix is not standardized: search, lookup, query, annotate, fetch, and get are used inconsistently, and some names like pdb_structure_summary or protein_tissue_expression have no clear action. The pattern is readable but not predictable enough to support high-confidence selection.
Tool Count2/5
73 tools is far beyond the practical agent context size for reliable selection, even for a broad bioinformatics utility. Many tools could be consolidated, such as merging the BioGRID, UniChem, and HGNC search/detail pairs. The count overwhelms rather than clearly earning each tool's place.
Completeness4/5
The set covers an unusually broad range of life-science domains, including genes, proteins, variants, literature, structures, pathways, interactions, compounds, model organisms, and multi-omic data repositories. Minor gaps remain, such as no direct retrieval of full expression matrices or raw sequence files from search results, but the search-and-annotate surface is generally adequate.
Maintenance
ActivityMaintained
ResponsivenessNo issues