
🧬 MCP PRIDE Archive Search Server
Model Context Protocol (MCP) PRIDE API Server implementation.
What is MCP PRIDE Archive Search?
MCP PRIDE Archive Search is an API server that implements the Model Context Protocol (MCP) to facilitate programmatic access to the PRIDE Archive, a repository for proteomics data.
How to use MCP PRIDE Archive Search?
To use the server, clone the repository, install the dependencies, and start the server with your preferred connection type (http or stdio).
Key features of MCP PRIDE Archive Search?
- MCP Server powered by FastMCP
- Search tool for querying datasets by various parameters
- AI-friendly tools for biomedical research
- Supports both http and stdio connection modes
- Easily extendable with additional tools
Use cases of MCP PRIDE Archive Search?
- Searching for proteomics research data.
- Querying mass spectrometry datasets.
- Exploring biomedical datasets related to cancer.
- Finding specific or popular proteomics projects.
FAQ from MCP PRIDE Archive Search?
- What is the purpose of this API server?
It allows AI models to interact with proteomics datasets programmatically.
- How do I install the server?
Clone the repository and install dependencies using poetry or pip.
- Can I use this server with any LLM?
Yes, it works with any LLM that supports the Model Context Protocol.
🧬 MCP PRIDE Archive Search Server
This project implements a Model Context Protocol (MCP)-compliant API server that exposes tools to search the PRIDE Archive, a major repository for proteomics data. It allows AI models (such as Claude or other MCP-compatible LLMs) to interact with proteomics datasets programmatically using structured function calling.
🚀 Features
- ✅ MCP Server powered by
FastMCP
- 🔍 PRIDE Archive Search Tool to query datasets by keyword, submission date, popularity, etc.
- 🤖 AI-friendly tools for biomedical and proteomics-related research
- ⚡ Supports both
http
(SSE) andstdio
connection modes - 🛠️ Easily extendable with additional tools
📦 Installation
Clone the repo and install dependencies:
git clone https://github.com/PRIDE-Archive/mcp_pride_archive_search.git
cd mcp_pride_archive_search
poetry install # or pip install -r requirements.txt
👨💻 Usage
Start the MCP server with your preferred connection type (http or stdio):
python -m mcp_pride_archive_search --connection_type http --port 9999
Command-line Arguments
Argument | Description | Default |
---|---|---|
--connection_type | Type of connection: http or stdio | http |
--port | Port to run the server (for HTTP mode) | 9999 |
🔧 Tool APIs
search_archive_tool(...)
Fetches proteomics datasets from the PRIDE Archive database.
Use this when:
- Searching for proteomics research data
- Mass spectrometry dataset queries
- Biomedical dataset exploration (e.g., cancer-related)
- Finding popular or specific proteomics projects
🤝 Integration with LLMs
This server works with any LLM that supports Model Context Protocol, including:
- Anthropic Claude
- Google Gemini
- Open-source MCP clients
- Custom RAG pipelines
🧠 Architecture Overview
+---------------------+ Tool Calls +-----------------------------+
| Claude / Gemini AI | <--------------------> | MCP PRIDE API Server |
+---------------------+ | - search_archive_tool() |
| - server_status() |
+-----------------------------+
|
v
+---------------------------+
| PRIDE Archive REST API |
| (https://www.ebi.ac.uk |
| /pride/ws/archive/ |
| v3/search/projects) |
+---------------------------+
📝 License
MIT License. See LICENSE for details.
