geo-mcp
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Alternatives to geo-mcp
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- FlicenseNot gradedqualityNot gradedmaintenanceProvides access to NCBI's scientific databases including E-utilities, PubChem, and PMC APIs for biomedical literature search, molecular data retrieval, and research through natural language queries.3-
- AlicenseCqualityFmaintenanceProvides AI-powered access to major biological databases for GWAS and bioinformatics research. Enables natural language queries for protein, gene, variant, pathway, and drug discovery analysis.441MIT
- AlicenseAqualityBmaintenanceEnables researchers to query public ENA and BioSamples genomics data in plain English through any MCP client, including counting records, searching samples, retrieving sample details, and checking metadata quality against project requirements.4MIT

igvf-portal-mcpofficial
AlicenseNot gradedqualityBmaintenanceEnables AI agents to search, filter, download files, and generate reports from the IGVF Data Portal using natural language commands.2MIT- FlicenseNot gradedqualityDmaintenanceProvides seamless access to over 35 million PubMed scientific articles through natural language queries for research discovery and analysis. It enables tools for advanced searches, retrieving article details, and exploring related research within the life sciences and biomedical fields.13-
- AlicenseAqualityCmaintenanceEnables users to search multiple public life-science data repositories (GEO, ENA, CELLxGENE, PRIDE, DataCite) with a single query, returning a unified ranked list of datasets with ontology-expanded terms and per-source error reporting.3MIT
TDQS
Scored across 11 tools
Each tool targets a distinct resource or action: search tools are differentiated by GEO record type (series, samples, platforms, datasets, profiles) plus a general search; download and management tools are clearly distinct (download, stats, status, list, cleanup). No overlapping purposes.
Most tools follow a consistent verb_noun pattern (e.g., download_geo_data, search_geo_series). The outlier is cleanup_downloads_tool, which uses 'cleanup' instead of 'clean' and has a '_tool' suffix, breaking the pattern slightly.
11 tools is well-scoped for a GEO MCP server, covering search across key record types, download operations, and dataset management. The number feels appropriate—neither too few nor excessive.
The server provides comprehensive search, download, and management capabilities for GEO data. Potential gaps include the absence of an explicit delete operation for individual datasets (cleanup is a blanket operation) and lack of upload or update functionality, but these are peripheral to the primary purpose.