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GWAS Catalog MCP

A Model Context Protocol (MCP) server that lets AI agents and agentic IDEs query the GWAS Catalog in plain language — searching traits, studies, and variant–trait associations from published genome-wide association studies.

You don't need to install anything. A hosted server is live at:

https://www.ebi.ac.uk/gwas/mcp

The server is also listed in the BioContext registry.

Connect

The server uses MCP's Streamable HTTP transport. Connect to the hosted endpoint with an MCP 2.x-compatible client.

Codex

codex mcp add gwas-mcp --url https://www.ebi.ac.uk/gwas/mcp

Use codex mcp list to check the configured servers.

Claude Code

For MCP 2.x, use Claude Code's http transport for the hosted Streamable HTTP endpoint:

claude mcp add --transport http gwas-mcp https://www.ebi.ac.uk/gwas/mcp

Add --scope user to make it available in all your projects.

ChatGPT desktop app

Open Settings → MCP Servers → Add server, choose Streamable HTTP, and enter:

https://www.ebi.ac.uk/gwas/mcp

Save the server and restart the app.

Other MCP clients that support remote Streamable HTTP servers can connect using the same URL. Clients that only support local STDIO servers can use the mcp-remote bridge.

What you can ask

The server gives your agent three tools:

Tool What it finds
Traits EFO traits (diseases, phenotypes) by name, gene, or publication
Studies GWAS studies by trait, ancestry, gene, or accession
Associations Variant–trait associations with statistics (p-value, odds ratio, …)

It also exposes reference data (ancestry labels, cohort IDs, variant consequences) that agents use to interpret results.

You don't call these directly — just ask your agent questions like:

  • "What EFO trait covers type 2 diabetes?"
  • "Find GWAS studies of type 2 diabetes in East Asian cohorts."
  • "What variants are associated with LDL cholesterol near the APOE gene?"
  • "Show the strongest associations for study accession GCST000001."

Run it yourself

Most people should use the server hosted above.

The best way to test and develop the server locally is to run MCP Inspector in STDIO mode.

The development endpoint is https://wwwdev.ebi.ac.uk/gwas/mcp. Both development Helm paths are /gwas/mcp; an older deployed path containing /api requires a Helm release update using the current values.

License

Apache-2.0

About

GWAS Catalog Model Context Protocol server, supporting natural language queries of associations, studies, and traits

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