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UniProt MCP Server

MCP server for UniProt protein data access

Created by TakumiY2352025/03/27
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What is UniProt MCP Server?

what is UniProt MCP Server? UniProt MCP Server is a backend service that provides access to UniProt protein information, enabling AI assistants to fetch protein function and sequence details directly from UniProt. how to use UniProt MCP Server? To use the UniProt MCP Server, clone the repository, install dependencies, and configure the server in the Claude Desktop application. Use API queries to request protein information based on accession numbers. key features of UniProt MCP Server? Retrieve protein information using UniProt accession numbers Batch retrieval for multiple proteins Performance caching with 24-hour TTL Comprehensive error handling and logging use cases of UniProt MCP Server? Accessing protein data for bioinformatics analyses Integrating protein queries into AI-driven applications Comparing multiple protein sequences and functions in research workflows FAQ from UniProt MCP Server? What types of data can I retrieve? You can retrieve protein name, function description, full sequence, sequence length, and organism. Is it easy to configure for use? Yes, the server setup involves simple configuration steps in your local environment. Can I handle errors when making requests? Yes, the server includes detailed error handling for various scenarios like invalid accession numbers and network issues.

As an MCP (Model Context Protocol) server, UniProt MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use UniProt MCP Server

To use the UniProt MCP Server, clone the repository, install dependencies, and configure the server in the Claude Desktop application. Use API queries to request protein information based on accession numbers. key features of UniProt MCP Server? Retrieve protein information using UniProt accession numbers Batch retrieval for multiple proteins Performance caching with 24-hour TTL Comprehensive error handling and logging use cases of UniProt MCP Server? Accessing protein data for bioinformatics analyses Integrating protein queries into AI-driven applications Comparing multiple protein sequences and functions in research workflows FAQ from UniProt MCP Server? What types of data can I retrieve? You can retrieve protein name, function description, full sequence, sequence length, and organism. Is it easy to configure for use? Yes, the server setup involves simple configuration steps in your local environment. Can I handle errors when making requests? Yes, the server includes detailed error handling for various scenarios like invalid accession numbers and network issues.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like UniProt MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like UniProt MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.