gget-mcp

gget-mcp

3.3

If you are the rightful owner of gget-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The gget-mcp server is a Model Context Protocol (MCP) server designed to provide a standardized interface for accessing bioinformatics tools and databases through the gget library.

The gget-mcp server is a powerful tool for bioinformatics research, offering a standardized interface to access a wide range of genomic databases and tools. It leverages the Model Context Protocol (MCP) to enable seamless integration with AI assistants and agents, allowing users to perform complex genomics queries using natural language. The server supports various functionalities such as gene and sequence information retrieval, sequence alignment, protein structure prediction, and gene expression analysis. By providing structured access to these tools, gget-mcp simplifies the interaction with complex bioinformatics workflows, making it easier for researchers to obtain and analyze genomic data. The server is built on the FastMCP framework, ensuring robust performance and type safety, and is designed to work with multiple platforms, including HTTP, STDIO, and SSE modes.

Features

  • Standardized Interface: Provides a consistent way to access bioinformatics tools and databases.
  • AI Integration: Seamlessly integrates with AI assistants for natural language queries.
  • Comprehensive Toolset: Includes tools for gene information, sequence analysis, protein structure prediction, and more.
  • Flexible Deployment: Supports multiple modes including HTTP, STDIO, and SSE.
  • Robust Performance: Built on the FastMCP framework for reliable and efficient operation.

Tools

  1. gget_search

    Find Ensembl IDs associated with search terms.

  2. gget_info

    Fetch detailed information for Ensembl IDs.

  3. gget_seq

    Retrieve nucleotide or amino acid sequences.

  4. gget_blast

    BLAST nucleotide or amino acid sequences.

  5. gget_alphafold

    Predict protein structure using AlphaFold.