Enables AI assistants to access protein information directly from UniProt, allowing retrieval of protein names, functions, sequences, and organism data by accession number.
A Model Context Protocol server that enhances language models with protein structure analysis capabilities, enabling detailed active site analysis and disease-related protein searches through established protein databases.
A server that enables communication with multiple unichat-based MCP servers simultaneously, allowing users to query different language models and combine their responses for more comprehensive results.
An MCP server that enables language models to access code intelligence features like completions, definitions, and references across multiple programming languages through the Language Server Protocol.
A Model Context Protocol server that enables AI models to programmatically search and interact with proteomics datasets from the PRIDE Archive repository through structured function calling.
An MCP server for searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, and Sci-Hub, designed for seamless integration with large language models like Claude Desktop.