BioMCP: Biomedical Model Context Protocol

A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.

Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.

A comprehensive Model Context Protocol (MCP) server for accessing the PubChem chemical database. This server provides access to over 110 million chemical compounds with extensive molecular properties, bioassay data, and chemical informatics tools.

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

Solid Tumor Associative Modeling in Pathology

MCP server for spatial transcriptomics analysis through natural language interfaces.

A framework for discovering, compiling, and validating reusable skills for scientific agents.

Search PubMed/Europe PMC, fetch articles and full text (PMC/EPMC/Unpaywall), citations, MeSH terms via MCP. STDIO or Streamable HTTP.

A comprehensive Model Context Protocol (MCP) server providing advanced access to the ChEMBL chemical database.

Drop-in scientific plotting skill for Claude Code, Codex, Cursor, and other coding agents.

AIPOCH Open-Science is an open-source, local-first, model-agnostic AI research workbench for macOS, Windows, and Linux, with scientific agents, Python/R notebooks, data connectors, and reproducible provenance.

A symbiotic AI agent that remembers everything, challenges you, and extends your cognition.

AI-native ontology engine: a Rust MCP server with tools for building, validating, querying, and reasoning over RDF/OWL ontologies. In-memory Oxigraph triple store, native OWL2-DL tableaux reasoner, SHACL validation, SPARQL, versioning. Single binary, no JVM.