MARRVEL-MCP
Enables searching PubMed literature, including full text, tables, and figures, for genetics research.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
MARRVEL-MCP
A Model Context Protocol (MCP) server for MARRVEL - enabling AI agents to access genetics databases and variant analysis tools for rare disease research.
Demo
Try out MARRVEL-MCP in action:
MARRVEL-MCP Chatbot Demo
Related MCP server: BioContextAI Knowledgebase MCP
Quick Start
Installation
git clone https://github.com/hyunhwan-bcm/MARRVEL_MCP.git
cd MARRVEL_MCP
# Using uv (recommended)
uv sync # core MCP server only
uv sync --extra eval # include evaluation framework dependencies
# Or using pip
pip install . # core MCP server only
pip install ".[eval]" # include evaluation framework dependenciesMCP Server Setup
To use MARRVEL-MCP with Claude Desktop, LM Studio, or other MCP-compatible clients, add the following to your client's MCP configuration:
{
"mcpServers": {
"marrvel-mcp": {
"command": "/path/to/your/.venv/bin/python",
"args": ["/path/to/MARRVEL_MCP/server.py"]
}
}
}Replace the paths with the actual locations of your Python virtual environment and the cloned repository.
Usage
Ask your AI assistant natural language questions about genes, variants, diseases, orthologs, and literature. For example test cases, see mcp_llm_test/test_cases.yaml.
Features
MARRVEL-MCP provides 35+ MCP tools for genetics research:
Gene queries - by symbol, Entrez ID, or genomic position
Variant analysis - dbNSFP, ClinVar, gnomAD, DGV, Geno2MP
Disease associations - OMIM, HPO, DECIPHER
Ortholog information - DIOPT across model organisms
Expression data - GTEx, Pharos drug targets, STRING interactions
Literature search - PubMed, PMC full text/tables/figures
Coordinate conversion - hg19/hg38 liftover
See docs/TOOL_RELATIONSHIPS.md for a visual diagram of tool chains and workflows.
Documentation
Document | Description |
Evaluation framework for benchmarking LLMs with MARRVEL-MCP | |
Tool relationship graph and common analysis chains | |
Package API reference for the | |
Test suite overview and instructions |
Development
# Install with dev dependencies
uv sync --group dev --extra eval
# Run tests
pytest tests/
# Format code
black .Citation
Wang J, et al. (2017) MARRVEL: Integration of Human and Model Organism Genetic Resources to Facilitate Functional Annotation of the Human Genome. Am J Hum Genet 100(6):843-853.
Support
Website: https://marrvel.org
API Docs: https://marrvel.org/doc
This server cannot be deployed
Maintenance
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