What happens when results exceed the memory limit?
A subset of results is returned in the `items` field, `is_complete` is set to `false`, and the complete dataset is automatically saved to a file specified in the `output_file` field.
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Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"gwas-catalog-mcp": {
"command": "uv",
"args": [
"sync"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
This MCP server provides a programmatic interface to the GWAS Catalog REST API, enabling access to GWAS study, variant, trait, and association data. It automatically handles large result sets by offering both in-memory results and file-based storage options.
Install dependencies with uv sync, activate the virtual environment (. .venv/bin/activate), then run the server with uv run server.py. The server exposes a single tool, GWAS_catalog, with multiple endpoints for querying different data types. All endpoints accept common parameters like max_items_in_memory, output_dir, and force_to_file.
_links fields from API responses by defaultA subset of results is returned in the `items` field, `is_complete` is set to `false`, and the complete dataset is automatically saved to a file specified in the `output_file` field.
The server requires `uv`, `mcp[cli]`, `fastmcp`, and `requests`. Install them with `uv sync`.
Yes. Set the `force_to_file` parameter to `true` to always save results to a file regardless of size. Alternatively, use `force_no_file` to never write to file.
The `get_region-trait-associations` endpoint and other endpoints marked as "uses GWAS Summary Statistics API" access `https://www.ebi.ac.uk/gwas/summary-statistics/api`.
For endpoints that process p-values (e.g., `get_associations_from_variant`), only results with `is_gwas_significant: true` (p β€ 5e-8) are returned. The metadata includes `significant_items` count.

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