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.
rating : 2.5 points
downloads : 43
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 dataMain features
MCP protocol compliantFully 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 searchProvides powerful search functions to query proteomics datasets by keywords, submission dates, popularity, etc.
Multiple connection methodsSupports two connection modes, HTTP (SSE) and stdio, to adapt to different usage scenarios
Extensible architectureEasy to add new tools and functions to meet changing research needs
Advantages and limitations
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 diseaseThe AI assistant can help researchers find proteomics datasets related to a specific disease (such as breast cancer)
Get popular research dataFind 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
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