Ensembl-MCP-Server

Ensembl-MCP-Server

3.3

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The Unofficial Ensembl MCP Server provides a comprehensive interface to access Ensembl's genomic data through a standardized Model Context Protocol (MCP).

Unofficial Ensembl MCP Server

A comprehensive Model Context Protocol (MCP) server that provides access to the Ensembl REST API for genomic data, comparative genomics, and biological annotations.

Developed by Augmented Nature

Overview

This server enables seamless access to Ensembl's vast genomic database through a standardized MCP interface. It supports gene lookups, sequence retrieval, variant analysis, comparative genomics, regulatory features, and much more across multiple species.

Features

Gene & Transcript Information

  • Gene Lookup: Get detailed gene information by Ensembl ID or gene symbol
  • Transcript Analysis: Retrieve all transcripts for a gene with structural details
  • Gene Search: Search genes by name, description, or identifier with filtering options

Sequence Data

  • Genomic Sequences: Extract DNA sequences for any genomic region or feature
  • CDS Sequences: Get coding sequences for specific transcripts
  • Sequence Translation: Translate DNA sequences to protein sequences
  • Repeat Masking: Support for hard and soft repeat masking

Comparative Genomics

  • Homolog Detection: Find orthologous and paralogous genes across species
  • Phylogenetic Trees: Generate gene family trees in multiple formats
  • Cross-Species Analysis: Compare genes and genomes across different organisms

Variant Data

  • Variant Retrieval: Get genetic variants in genomic regions
  • Consequence Prediction: Predict variant effects on genes and transcripts
  • Population Genetics: Access allele frequencies and population data

Regulatory Features

  • Regulatory Elements: Access enhancers, promoters, and TFBS data
  • Motif Features: Get transcription factor binding motifs
  • Cell Type Context: Filter regulatory features by cell type

Cross-References & Annotations

  • External Database Links: Get cross-references to PDB, EMBL, RefSeq, etc.
  • Coordinate Mapping: Convert coordinates between genome assemblies
  • Ontology Terms: Access GO terms and functional annotations

Species & Assembly Information

  • Species Lists: Browse available species and assemblies
  • Assembly Statistics: Get genome assembly information and statistics
  • Karyotype Data: Access chromosome information and banding patterns

Batch Processing

  • Batch Gene Lookup: Process multiple genes simultaneously
  • Batch Sequence Fetch: Retrieve sequences for multiple regions efficiently

Installation

# Clone or download the server files
cd ensembl-server

# Install dependencies
npm install

# Build the server
npm run build

Usage with Claude Desktop

Setup Instructions

  1. Build the server (if not already done):

    npm run build

  2. Add to Claude Desktop configuration:

    • Open Claude Desktop
    • Go to Settings → MCP Servers
    • Add a new server with:
      • Name: ensembl
      • Command: node
      • Args: /path/to/ensembl-server/build/index.js

  3. Restart Claude Desktop to load the server

Available Tools (25 total)

Gene & Transcript Information
  • lookup_gene - Get detailed gene information by stable ID or symbol
  • get_transcripts - Get all transcripts for a gene with detailed structure
  • search_genes - Search for genes by name, description, or identifier
Sequence Data
  • get_sequence - Get DNA sequence for genomic coordinates or gene/transcript ID
  • get_cds_sequence - Get coding sequence (CDS) for a transcript
  • translate_sequence - Translate DNA sequence to protein sequence
Comparative Genomics
  • get_homologs - Find orthologous and paralogous genes across species
  • get_gene_tree - Get phylogenetic tree for gene family
Variant Data
  • get_variants - Get genetic variants in a genomic region
  • get_variant_consequences - Predict consequences of variants on genes and transcripts
Regulatory Features
  • get_regulatory_features - Get regulatory elements in genomic region
  • get_motif_features - Get transcription factor binding motifs in genomic region
Cross-References & Annotations
  • get_xrefs - Get external database cross-references for genes
  • map_coordinates - Convert coordinates between genome assemblies
Species & Assembly Information
  • list_species - Get list of available species and assemblies
  • get_assembly_info - Get genome assembly information and statistics
  • get_karyotype - Get chromosome information and karyotype
Batch Processing
  • batch_gene_lookup - Look up multiple genes simultaneously
  • batch_sequence_fetch - Fetch sequences for multiple regions or features

Example Usage in Claude Desktop

Once connected, you can use natural language to access genomic data:

  • "Look up the BRCA2 gene and get its sequence"
  • "Find orthologs of TP53 in mouse"
  • "Get variants in the region chr17:43044295-43125364"
  • "Search for insulin-related genes"
  • "Get the assembly information for human genome"
  • "Translate this DNA sequence to protein: ATGAAACGC..."

Supported Species

The server supports all species available in Ensembl, including:

  • Vertebrates: Human, Mouse, Rat, Zebrafish, etc.
  • Plants: Arabidopsis, Rice, Wheat, etc.
  • Fungi: Yeast, etc.
  • Protists: Various protist species
  • Metazoa: Drosophila, C. elegans, etc.

Default species is homo_sapiens when not specified.

Input Formats

Genomic Regions

  • chr1:1000000-2000000 - Standard format
  • 1:1000000-2000000 - Without 'chr' prefix
  • ENSG00000139618 - Feature IDs

Gene/Transcript IDs

  • Ensembl IDs: ENSG00000139618, ENST00000380152
  • Gene symbols: BRCA2, TP53
  • RefSeq IDs: NM_000059

Output Formats

Primary Formats

  • JSON: Structured data (default for most tools)
  • FASTA: Sequence data
  • GFF: Genomic feature format
  • VCF: Variant call format

Tree Formats

  • JSON: Structured tree data
  • Newick: Standard phylogenetic format
  • PhyloXML: Rich phylogenetic format

Error Handling

The server provides comprehensive error handling:

  • Invalid Parameters: Clear validation messages
  • API Errors: Detailed error information from Ensembl
  • Network Issues: Timeout and connectivity error handling
  • Species Validation: Automatic species name validation

Rate Limiting

The server respects Ensembl's rate limiting guidelines:

  • Maximum 15 requests per second
  • Appropriate delays between batch operations
  • Connection pooling for efficiency

Configuration

Environment Variables

  • ENSEMBL_BASE_URL: Override default API base URL
  • REQUEST_TIMEOUT: Set custom timeout (default: 30000ms)

Species Configuration

  • Default species: homo_sapiens
  • Automatic species validation
  • Support for all Ensembl divisions

API Coverage

This server provides access to major Ensembl REST API endpoints:

Lookup & Search

  • /lookup/id/{id} - Gene/transcript lookup
  • /search - Gene search functionality

Sequences

  • /sequence/id/{id} - Feature sequences
  • /sequence/region/{species}/{region} - Genomic sequences

Comparative Genomics

  • /homology/id/{id} - Homology data
  • /genetree/id/{id} - Gene trees

Variation

  • /variation/region/{species}/{region} - Variant data
  • /vep/species/{species}/region - Variant effect prediction

Regulation

  • /regulatory/species/{species}/region/{region} - Regulatory features
  • /regulatory/species/{species}/microarray/{region} - Motif features

Cross-references

  • /xrefs/id/{id} - External database references
  • /map/coords/{species}/{assembly}/{region} - Coordinate mapping

Information

  • /info/species - Available species
  • /info/assembly/{species} - Assembly information

Support

For issues related to:

Contributing

Contributions are welcome! Please ensure:

  • TypeScript compliance
  • Comprehensive error handling
  • Documentation updates
  • Test coverage for new features

Related Tools

This server integrates well with other bioinformatics MCP servers:

  • UniProt Server: Protein data integration
  • AlphaFold Server: 3D structure predictions
  • STRING Server: Protein interaction networks
  • PDB Server: Structural biology data

About Augmented Nature

This Ensembl MCP Server is developed by Augmented Nature, a company focused on building AI-powered tools for scientific research and discovery.

Citation

If you use this project in your research or publications, please cite it as follows:

author = {Moudather Chelbi},
title = {Ensembl MCP Server},
year = {2025},
howpublished = {https://github.com/Augmented-Nature/Ensembl-MCP-Server},
note = {Accessed: 2025-06-29}