GTEx MCP Server
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Alternatives to GTEx MCP Server
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Related Servers
- FlicenseBqualityDmaintenanceEnables AI assistants to query genetic variant data, gene constraints, and population genetics information from the gnomAD (Genome Aggregation Database) through its GraphQL API. Supports searching for genes and variants, retrieving constraint scores, analyzing population frequencies, and accessing genomic coverage data.910-
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to query clinical genomics databases, retrieve supporting literature, analyze population genetics, and visualize biological pathways.18MIT
- AlicenseNot gradedqualityCmaintenanceEnables querying GTEx gene expression, eQTL, and tissue data through an MCP gateway.2 npmMIT
- 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
- AlicenseCqualityDmaintenanceEnables AI assistants to query gene annotations, expression, pathways, variants, and more via the MyGene.info API, supporting batch operations and multiple biological data sources.26MIT
- AlicenseAqualityDmaintenanceEnables AI agents to conversationally interact with genomics research networks for data analysis and discovery across multiple Omics AI Explorer platforms. It provides tools for exploring data collections, examining table schemas, and executing SQL queries against datasets like Viral AI and Neuroscience AI.61MIT
TDQS
Scored across 25 tools
Most tools have distinct purposes targeting specific data types or analyses (e.g., get_gene_expression vs. get_eqtl_genes vs. get_sample_info), with clear boundaries. However, some overlap exists between get_gene_info and search_genes, and between get_subject_phenotypes and get_sample_info, which could cause minor confusion.
Tool names follow a highly consistent verb_noun pattern throughout, primarily using 'get_' for data retrieval, 'calculate_' for computations, and 'analyze_'/'search_'/'validate_' for other operations. All names use snake_case uniformly, making them predictable and readable.
With 25 tools, the count is borderline high for a single server, leaning toward heavy but not extreme. This is reasonable given the broad scope of GTEx data analysis, but it may overwhelm agents with many similar-sounding retrieval tools.
The tool set provides comprehensive coverage for GTEx data analysis, including data retrieval (genes, variants, expression, eQTLs, samples), computations (correlation, dynamic eQTLs), searches, and validations. It supports full workflows from data access to analysis without obvious gaps.