Ensembl MCP Server
Related Servers
Alternatives to Ensembl MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseAqualityDmaintenanceA comprehensive Model Context Protocol (MCP) server that provides access to the Ensembl REST API for genomic data, comparative genomics, and biological annotations.193-
- 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.458MIT
- AlicenseNot gradedqualityCmaintenanceEnables querying Ensembl genomic data including gene lookup, sequence retrieval, homology, variation, and variant effect prediction via MCP tools.14MIT
- AlicenseNot gradedqualityCmaintenanceMCP server for querying gene annotations, full-text gene search, and species taxonomy via MyGene.info. Enables AI agents to access gene data through natural language questions.15MIT
- AlicenseNot gradedqualityAmaintenanceEnables looking up genes, fetching sequences, predicting variant consequences, finding orthologs, and cross-database xrefs via Ensembl REST API through MCP.422Apache 2.0
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables retrieval of -omics data from sources like PDB, ChEMBL, UniProt, PubChem, and HUGO.5GPL 3.0
TDQS
Scored across 10 tools
Each tool has a clearly distinct purpose targeting specific genomic data types or operations, such as comparative genomics, feature overlap, sequence retrieval, or variant analysis. The descriptions explicitly differentiate their scopes (e.g., 'ensembl_compara' for evolutionary analysis vs. 'ensembl_sequence' for sequence retrieval), with no apparent overlap that could cause agent misselection.
All tool names follow a consistent 'ensembl_' prefix with descriptive suffixes (e.g., 'compara', 'lookup', 'mapping'), using snake_case uniformly throughout. This predictable pattern enhances readability and helps agents quickly identify the tool's domain without confusion.
With 10 tools, the server is well-scoped for genomic data access and analysis, covering key areas like sequence retrieval, variant analysis, and metadata. Each tool earns its place by addressing distinct aspects of the Ensembl database, avoiding bloat while providing comprehensive coverage for typical bioinformatics workflows.
The tool set offers complete coverage for genomic data operations, including lookup, mapping, sequence retrieval, variation analysis, and metadata access. It supports full CRUD-like workflows (e.g., from data query to analysis) with no obvious gaps, ensuring agents can handle end-to-end tasks without dead ends.