Enabling Composable Agentic Systems for Biomedical Research
BioContextAI is an open-source initiative that bridges the gap between Large Language Models (LLMs) and specialized biomedical knowledge. We're building the infrastructure for reliable, composable AI agents that can access validated scientific resources without hallucinations or fragmented implementations.
Transform biomedical research by making AI systems more reliable, interconnected, and accessible through standardized access to domain-specific knowledge bases and tools.
Current biomedical AI systems suffer from:
- Hallucinations and unreliable outputs
- Fragmented solutions limited to specific applications
- Lack of access to specialized databases and validated resources
- Reinvention overhead - developers constantly rebuilding the same integration layers
We leverage the emerging Model Context Protocol standard to create composable, interoperable biomedical AI tools that can be mixed and matched across different LLM providers and applications.
ποΈ Registry - Community-driven catalog of biomedical MCP servers with rich metadata, enforcing FAIR principles and open-source standards
π₯οΈ Server - Production-ready MCP server providing access to essential biomedical databases
π¬ Chat - Interactive interface for testing and using MCP-enabled biomedical AI assistants
π Website - Documentation, tutorials, and community resources
- Try our tools: Visit biocontext.ai to explore the registry and chat interface
- Install locally:
uv add biocontext_server
- Integrate: Add our MCP server to your existing AI workflows
- Contribute servers: Add your biomedical tools to our registry
- Extend functionality: Build upon our server implementation
- Join development: Check our contribution guidelines
We're building a collaborative ecosystem inspired by successful bioinformatics initiatives like scverse, BioCypher, and Bioconda. Join us in advancing biomedical AI:
- Registry contributions: Share your MCP servers with the community
- Code contributions: Improve our core infrastructure
- Documentation: Help others learn and adopt our tools
- Feedback: Report issues and suggest improvements
Repository | Description | Language | Status |
---|---|---|---|
registry | Community MCP server catalog | Metadata/JSON | β Active |
server | Core biomedical MCP server | Python | β Active |
website | Main website and documentation | TypeScript/Next.js | β Active |
evaluation | Benchmarking scripts | Python | β Active |
- Website: biocontext.ai
- Registry: biocontext.ai/registry
- Chat Interface: biocontext.ai/chat
- Documentation: biocontext.ai/docs
- Remote Server: mcp.biocontext.ai
Tba.