ensembl-mcp-server

ensembl-mcp-server

Enables looking up genes, fetching sequences, predicting variant consequences, finding orthologs, and cross-database xrefs via Ensembl REST API through MCP.

Category
Visit Server

README

<div align="center"> <h1>@cyanheads/ensembl-mcp-server</h1> <p><b>Look up genes, fetch sequences, predict variant consequences, find orthologs and cross-database xrefs via Ensembl REST via MCP. STDIO or Streamable HTTP.</b> <div>7 Tools • 4 Resources • 1 Prompt</div> </p> </div>

<div align="center">

Version License Docker MCP SDK npm TypeScript Bun

</div>

<div align="center">

Install in Claude Desktop Install in Cursor Install in VS Code

Framework

</div>

<div align="center">

Public Hosted Server: https://ensembl.caseyjhand.com/mcp

</div>


Tools

Seven tools covering the core Ensembl REST API surface — species discovery, gene/transcript lookup, sequence retrieval, genomic region overlap, variant consequence prediction, cross-species homology, and external database cross-references:

Tool Description
ensembl_list_species List species supported by Ensembl with display name, common name, assembly, taxon ID, and division
ensembl_lookup_gene Resolve a gene by symbol + species or by stable ID to its Ensembl ID, genomic location, biotype, and transcript list
ensembl_get_sequence Fetch the DNA, cDNA, CDS, or protein sequence for a gene, transcript, protein, or genomic region
ensembl_query_region Find genomic features (genes, transcripts, variants, regulatory elements, exons) overlapping a chromosomal region
ensembl_predict_variant Predict functional consequences of a sequence variant using the Ensembl Variant Effect Predictor (VEP)
ensembl_get_homology Find orthologs and/or paralogs of a gene across species with percent identity and taxonomy level
ensembl_get_xrefs Retrieve cross-database references for a gene — HGNC, UniProt, EntrezGene, OMIM, RefSeq, Reactome, and others

ensembl_list_species

Discovery tool for the Ensembl species catalog.

  • Filter by division: vertebrates, plants, fungi, metazoa, or protists
  • Optional name filter (nameContains) for local substring matching
  • Returns display name, common name, assembly, taxon ID, and Ensembl division for each species
  • Required first step — species names like homo_sapiens are opaque to non-biologists and are the input format every other tool expects

ensembl_lookup_gene

Single entry point for resolving gene identity.

  • Symbol + species lookup (BRCA2 + homo_sapiens) or direct stable ID lookup (ENSG00000139618)
  • Batch lookup of up to 20 IDs or symbols in one call via POST endpoints
  • Optional transcript expansion — returns full transcript list with biotype and canonical flag
  • Returns Ensembl stable ID, genomic location (chr:start-end:strand), biotype, description, and transcript list
  • Errors: not_found (symbol or ID not in Ensembl), invalid_species (call ensembl_list_species to discover valid names)

ensembl_get_sequence

Fetch any sequence type for any Ensembl feature.

  • Molecule types: genomic (default, includes introns), cdna (spliced), cds (coding only), protein
  • Accepts stable IDs or species:chr:start-end region format for genomic region mode
  • Optional flanking sequence (expand_5prime, expand_3prime) in base pairs
  • Returns sequence with stable ID, molecule type, and character count — large sequences (e.g. BRCA2 at 85,183 bp genomic) returned in full with explicit length so callers can budget context usage

ensembl_query_region

Find all genomic features overlapping a chromosomal window.

  • Region format: chr:start-end (e.g. 13:32315086-32400268) — no chr prefix for vertebrates
  • Feature types: gene (default), transcript, variation, regulatory, exon
  • Optional biotype filter
  • Defaults to gene only to prevent context overload — a large locus can contain 44,000+ variants when all feature types are selected

ensembl_predict_variant

Predict variant consequences via the Ensembl VEP.

  • Accepts HGVS notation (transcript-relative: ENST00000380152.8:c.2T>A) or genomic region+allele format (13:32316462:32316462:1/A)
  • Returns most severe consequence term, affected transcripts and genes, impact level (HIGH/MODERATE/LOW/MODIFIER)
  • Includes colocated known variants with clinical significance (ClinVar, dbSNP)
  • Errors: invalid_notation (check format), not_found (location outside any known transcript)

ensembl_get_homology

Cross-species homolog lookup.

  • Returns orthologs (default) or paralogs, or both
  • Optional target_species filter to narrow to specific organisms
  • Each homolog carries stable ID, species, relationship type (ortholog_one2one, ortholog_one2many, etc.), perc_id, perc_pos, and taxonomy level

ensembl_get_xrefs

Full cross-database reference set for any Ensembl feature.

  • Returns all external IDs by default: HGNC, UniProt, EntrezGene, OMIM, RefSeq, Reactome, and more (56 xrefs for BRCA2)
  • Optional dbname filter (e.g. HGNC, Uniprot_gn, EntrezGene, MIM_GENE) to narrow output
  • Uses the xrefs/id endpoint (not xrefs/symbol) — returns the full cross-reference set
  • IDs returned here chain directly to protein, literature, disease, and pathway resources in other MCP servers

Resources and prompts

Type Name Description
Resource ensembl://gene/{id} Gene record by stable ID (ENSG…) — location, biotype, description, and transcript list
Resource ensembl://transcript/{id} Transcript record by stable ID (ENST…) — parent gene, location, biotype, canonical flag, and length
Resource ensembl://species Supported Ensembl species for the endpoint default division (vertebrates on the default endpoint) with name, display name, assembly, taxon ID, and division
Resource ensembl://species/{division} Supported species in one division (EnsemblVertebrates, EnsemblPlants, EnsemblFungi, EnsemblMetazoa, EnsemblProtists)
Prompt ensembl_gene_dossier Structured workflow for assembling a complete gene profile: symbol → ID + location → sequence → variants → orthologs → xrefs

All resource data is also reachable via tools. ensembl://species returns the endpoint default division (vertebrates) and ensembl://species/{division} returns a named division; ensembl_list_species is the tool equivalent, filtering by division and name.

Features

Built on @cyanheads/mcp-ts-core:

  • Declarative tool, resource, and prompt definitions — single file per primitive, framework handles registration and validation
  • Unified error handling — handlers throw, framework catches, classifies, and formats
  • Pluggable auth: none, jwt, oauth
  • Swappable storage backends: in-memory, filesystem, Supabase, Cloudflare KV/R2/D1
  • Structured logging with optional OpenTelemetry tracing
  • STDIO and Streamable HTTP transports

Ensembl-specific:

  • Keyless REST API — no API key required; Ensembl REST is fully public at 55,000 req/hr
  • Rate-limit-aware service layer: tracks x-ratelimit-remaining, retries 429 with Retry-After, and retries transient 5xx
  • Batch POST endpoints used throughout — POST /lookup/id (up to 50 IDs) and POST /lookup/symbol/{species} reduce N+1 round trips in multi-gene workflows
  • GRCh37 legacy support via ENSEMBL_BASE_URL — point the entire server at https://grch37.rest.ensembl.org for clinical workflows on the older assembly
  • All coordinate-bearing responses echo the assembly name so agents never see a bare genomic position without assembly context

Agent-friendly output:

  • Sequence character count stated on every ensembl_get_sequence response so callers can budget context before consuming large genomic sequences
  • ensembl_list_species is explicitly the discovery step — tool descriptions call out the opaque internal-name format and direct agents to it before using species-dependent tools
  • Cross-tool chaining made explicit: xref IDs from ensembl_get_xrefs are described as inputs for protein and literature servers; the ensembl_gene_dossier prompt sequences the full 7-tool research workflow

Getting started

Public Hosted Instance

A public instance is available at https://ensembl.caseyjhand.com/mcp — no installation required. Point any MCP client at it via Streamable HTTP:

{
  "mcpServers": {
    "ensembl-mcp-server": {
      "type": "streamable-http",
      "url": "https://ensembl.caseyjhand.com/mcp"
    }
  }
}

Self-Hosted / Local

Add the following to your MCP client configuration file.

{
  "mcpServers": {
    "ensembl-mcp-server": {
      "type": "stdio",
      "command": "bunx",
      "args": ["@cyanheads/ensembl-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with npx (no Bun required):

{
  "mcpServers": {
    "ensembl-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@cyanheads/ensembl-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with Docker:

{
  "mcpServers": {
    "ensembl-mcp-server": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "MCP_TRANSPORT_TYPE=stdio",
        "ghcr.io/cyanheads/ensembl-mcp-server:latest"
      ]
    }
  }
}

For Streamable HTTP, set the transport and start the server:

MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 bun run start:http
# Server listens at http://localhost:3010/mcp

Prerequisites

  • Bun v1.3.14 or higher (or Node.js v24+).
  • No API key required — Ensembl REST is fully public.

Installation

  1. Clone the repository:
git clone https://github.com/cyanheads/ensembl-mcp-server.git
  1. Navigate into the directory:
cd ensembl-mcp-server
  1. Install dependencies:
bun install
  1. Configure environment:
cp .env.example .env
# edit .env if you need to override ENSEMBL_BASE_URL (e.g. for GRCh37)

Configuration

All configuration is validated at startup via Zod schemas in src/config/server-config.ts.

Variable Description Default
ENSEMBL_BASE_URL Ensembl REST API base URL. Override for GRCh37 (https://grch37.rest.ensembl.org) or a local mirror. https://rest.ensembl.org
MCP_TRANSPORT_TYPE Transport: stdio or http stdio
MCP_HTTP_PORT HTTP server port 3010
MCP_HTTP_ENDPOINT_PATH HTTP endpoint path /mcp
MCP_AUTH_MODE Authentication: none, jwt, or oauth none
MCP_LOG_LEVEL Log level (debug, info, warning, error, etc.) info
LOGS_DIR Directory for log files (Node.js only) <project-root>/logs
OTEL_ENABLED Enable OpenTelemetry false

See .env.example for the full list of optional overrides.

Running the server

Local development

  • Build and run:

    # One-time build
    bun run rebuild
    
    # Run the built server
    bun run start:stdio
    # or
    bun run start:http
    
  • Run checks and tests:

    bun run devcheck   # Lint, format, typecheck, security
    bun run test       # Vitest test suite
    bun run lint:mcp   # Validate MCP definitions against spec
    

Docker

docker build -t ensembl-mcp-server .
docker run --rm -p 3010:3010 ensembl-mcp-server

The Dockerfile defaults to HTTP transport, stateless session mode, and logs to /var/log/ensembl-mcp-server. OpenTelemetry peer dependencies are installed by default — build with --build-arg OTEL_ENABLED=false to omit them.

Project structure

Directory Purpose
src/index.ts createApp() entry point — registers tools/resources/prompts and inits services
src/config Server-specific environment variable parsing and validation with Zod
src/mcp-server/tools Tool definitions (*.tool.ts) — 7 tools
src/mcp-server/resources Resource definitions (*.resource.ts) — gene, transcript, species
src/mcp-server/prompts Prompt definitions (*.prompt.ts) — gene dossier workflow
src/services/ensembl Ensembl REST API client — HTTP, rate-limit handling, retry, error normalization
tests/ Unit and integration tests mirroring src/

Development guide

See CLAUDE.md for development guidelines and architectural rules. The short version:

  • Handlers throw, framework catches — no try/catch in tool logic
  • Use ctx.log for request-scoped logging, ctx.state for tenant-scoped storage
  • Register new tools and resources in the createApp() arrays in src/index.ts
  • Wrap external API calls: validate raw → normalize to domain type → return output schema; never fabricate missing fields

Contributing

Issues and pull requests are welcome. Run checks and tests before submitting:

bun run devcheck
bun run test

License

Apache-2.0 — see LICENSE for details.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured