Built on Quarkus MCP Server framework to provide natural language access to the 1000 Genomes Project dataset, enabling variant, sample, and genotype queries with filtering by annotations, coordinates, zygosity, and inheritance models across 138 million variants and 3202 samples.
1000 Genomes Project dataset MCP Server
Natural language access to 1000 Genomes Project dataset, hosted online in Dnaerys variant store
Dataset is sequenced & aligned to GRCh38 by New York Genome Center
2504 unrelated samples from the phase three panel
additional 698 samples, related to samples in the 2504 panel
3202 samples total (1598 males, 1604 females)
Key Features
real-time access to 138 044 724 unique variants and about 442 billion individual genotypes in 3202 samples
variant, sample, and genotype selection based on coordinates, annotations, zygosity
filtering by VEP, ClinVar, gnomAD AF and AlphaMissense annotations
filtering by inheritance model (de novo, heterozygous dominant, homozygous recessive)
Deployments
Remote MCP service is available online via Streamable HTTP:
http://db.dnaerys.org:80/mcp
https://db.dnaerys.org:443/mcp
For local build with stdio transport see details below
Architecture
MCP Server is implemented as a Java EE service, accessing 1KGP dataset via gRPC calls to public Dnaerys variant store service.
service implementation is based on Quarkus MCP Server
provides MCP over Streamable HTTP, HTTP/SSE and STDIO transports
Examples
Answers below are from Sonnet 4.5: some from multi-agent Research system, some with extended thinking mode, and some from a single-agent system in normal mode.
Identify potential modifier variants for well-known pathogenic alleles in TTN - variants that consistently co-occur in the same haplotype block with pathogenic alleles and may alter severity or penetrance. Conduct research for pathogenic alleles documented in the literature. Use KGP dataset of healthy individuals to find potential modifier variants. Start with 100kb for "the same haplotype block" definition, then extend if required. Evaluate statistical significance for the best modifier candidates found. No initial constraints for modifier types.
it feels a bit unreal how easily this thing can pull not entirely nonsensical events from a dataset with p = 2.29×10⁻¹³... which makes one wonder what else is possible with a proper study design, specialised disease and control cohorts, and a bit more dedication
or
Which regions in POLR2A are most likely disease-critical, with strong purifying selection, based on available variation patterns across functional domains in KGP ? Do statistical evaluation.
results for CACNA1A (chart), SCN1A, SCN2A (chart), POLR2A (chart), RPL5 (interactive vis), RPL11, RPS26
or
In what cardiac related genes, e.g. ion channels, variants in KGP dataset near catalytic residues or ligand-binding pockets show strong depletion compared to flanking residues (±20 amino acids) ?
results might be some
or
Are there patterns of variation in KGP dataset that suggest digenic or oligogenic interactions for Bardet-Biedl syndrome ? Check variety of combinations and zygosity patterns.
or
Which variants in the HBB gene are unexpectedly tolerated in the KGP dataset with at least several annotation sources in agreement with regard to their expected pathogenicity ?
or
Rank all rare KGP variants in genes associated with arrhythmia disorder by their expected clinical relevance, not by predicted pathogenicity alone. Find affected individuals with highest clinical priority variants.
results might be some
Feel free to open a PR with your favorite prompts
Available Tools
Description for 30 tools and parameters can be found here
Installation
Project can be run locally with MCP over stdio transport, so the MCP server can be started as a subprocess by MCP clients (like Claude Desktop or Goose).
build the project and package it as a single über-jar:
jar is located in
target/onekgpd-mcp-runner.jarand includes all dependencies
start from MCP client with a full path to the jar file (for stdio transport, default configuration) or run as a separate service with streamable HTTP transport (requires a change in configuration)
project expects JRE 21 to be available at runtime
Usage with Claude Desktop
To use with Claude Desktop, add to claude_desktop_config.json:
Verification
How many variants exist in 1000 Genome Project ?
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.