Discover Bioinformatics MCPs
Explore and manage Model Context Protocol implementations designed for bioinformatics, computational biology, and research applications.
Top MCPs
STRINGmcp
A comprehensive Python package for interacting with the STRING database API through a Model Context Protocol (MCP) bridge. Enabling data retrieval as well as visualization
Variant Effect Prediction (VEPmcp)
VEPmcp is a Model Context Protocol server for the Ensembl Variant Effect Predictor (VEP) API [1]. It enables annotation and effect prediction of genetic variants, with full support for batch and single queries, and is designed for seamless integration with MCP-compatible clients (e.g., Claude Desktop, VS Code MCP extension). [1]: https://rest.ensembl.org/
PLSDBmcp
Model Context Protocol server for interacting with the PLSDB (Plasmid Database) API. This server provides tools to search, filter, and retrieve plasmid data from PLSDB.
Why Use Bioinformatics MCPs?
Accelerated Research
Speed up computational biology research with specialized AI tools designed for bioinformatics workflows.
Validated Tools
All MCPs are reviewed and validated by bioinformatics experts and computational biologists.
Open Community
Join a growing community of researchers, developers, and bioinformatics professionals sharing knowledge.