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rithvik318

biosamples-mcp

by rithvik318

Biosamples - MCP

A Model Context Protocol (MCP) server for biological sample checklist validation and recommendation.

Built as part of GSoC 2026 proposal preparation for EMBL-EBI (Project: Expose BioSamples Submission and Search Capabilities as MCP Tools for AI-Assisted Metadata Interaction).


What it does

Exposes 3 MCP tools that an LLM (e.g. Claude) can call:

Tool

Description

validate_sample

Validates sample metadata against a specific ENA checklist via BioValidator API

get_checklist_info

Returns all mandatory and optional fields for a given checklist ID

recommend_checklist

Scores sample metadata against 15 checklists and returns ranked recommendations with confidence scores


Related MCP server: bvbrc-mcp-server

Architecture


Key findings from API research

  • BioValidator (/biosamples/validate) validates JSON structure but does not enforce checklist mandatory fields — the MCP server's scoring engine fills this gap independently

  • ENA Browser XML API (/ena/browser/api/xml/{id}) is the reliable public source for checklist field definitions

  • BioSamples JSON Schema Store (internal MongoDB) is not publicly accessible — flagged as a risk in the GSoC proposal with ENA XML as a confirmed working alternative

  • Validation errors return as structured {dataPath, errors} arrays — machine-parseable and LLM-friendly


Setup

git clone https://github.com/rithvik318/biosamples-mcp
cd biosamples-mcp
python -m venv venv
venv\Scripts\activate        # Windows
# source venv/bin/activate   # Mac/Linux
pip install -r requirements.txt

Run

python server.py

Test with MCP Inspector

npx @modelcontextprotocol/inspector python D:\biosamples-mcp\server.py

Open http://localhost:6274 and connect using:

  • Command: D:\biosamples-mcp\venv\Scripts\python.exe

  • Arguments: D:\biosamples-mcp\server.py


Example tool calls

validate_sample

{
  "sample_name": "soil sample from Delhi",
  "characteristics": "{\"organism\": [{\"text\": \"soil metagenome\"}], \"collection_date\": [{\"text\": \"2024-01-01\"}], \"geographic_location_country_andor_sea\": [{\"text\": \"India\"}]}",
  "checklist_id": "ERC000011"
}

recommend_checklist

{
  "sample_name": "soil metagenome sample",
  "characteristics": "{\"organism\": [{\"text\": \"soil metagenome\"}], \"collection_date\": [{\"text\": \"2024-01-01\"}]}",
  "top_n": 3
}

Technologies

  • Python 3.10+

  • MCP Python SDK

  • httpx (async HTTP)

  • xml.etree.ElementTree (XML parsing)

  • Tested with MCP Inspector v0.21.1

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

No tool schema history has been recorded yet.

Maintenance

ActivityInactive
ResponsivenessNo issues

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