MCP Pride Archive Search
M

MCP Pride Archive Search

This project implements an API server that complies with the MCP protocol for searching the PRIDE Archive proteomics database and supports AI models to interact with proteomics datasets through structured function calls.
2.5 points
7.7K

What is the MCP PRIDE Archive Search Server?

This is an API server that complies with the Model Context Protocol (MCP) standard and is specifically designed to query the PRIDE Archive (the main proteomics database of the European Bioinformatics Institute). It enables AI models to programmatically access and search proteomics research data.

How to use the MCP PRIDE server?

You can interact with the server through simple HTTP requests or standard input/output. The server provides specialized search functions that AI models can call to obtain proteomics data.

Use cases

This service is particularly suitable for: - Biomedical researchers who need to access proteomics data - AI-assisted proteomics analysis - Building knowledge graphs related to proteomics - Developing AI applications based on proteomics data

Main features

MCP protocol compliant
Fully compliant with the Model Context Protocol standard and can be seamlessly integrated with AI models that support MCP, such as Claude and Gemini
PRIDE Archive search
Provides powerful search functions to query proteomics datasets by keywords, submission dates, popularity, etc.
Multiple connection methods
Supports two connection modes, HTTP (SSE) and stdio, to adapt to different usage scenarios
Extensible architecture
Easy to add new tools and functions to meet changing research needs
Advantages
Provides a structured proteomics data access interface for AI models
Simplifies the data acquisition process in biomedical research
Supports multiple mainstream AI models and custom RAG pipelines
High-performance implementation based on FastMCP
Limitations
Requires basic knowledge of API calls
Currently only supports the PRIDE Archive database
Advanced search functions may require specific parameters

How to use

Installation
Clone the repository and install dependencies
Start the server
Select the appropriate connection method to start the server
Integrate with an AI model
Configure your AI model (such as Claude) to connect to the MCP server

Usage examples

Search for data related to a specific disease
The AI assistant can help researchers find proteomics datasets related to a specific disease (such as breast cancer)
Get popular research data
Find the most popular or highly cited datasets in the PRIDE Archive

Frequently Asked Questions

Do I need programming experience to use this server?
Which AI models does this server support?
How often is the data updated?
Can I run multiple searches simultaneously?

Related resources

PRIDE Archive official website
The main website of the PRIDE Archive. Learn more about the proteomics database.
GitHub repository
Project source code and the latest updates
MCP protocol documentation
Learn the detailed specifications of the Model Context Protocol
Introduction to proteomics guide
Learning resources for basic proteomics knowledge

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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