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Knowledgebase

Provides a standardized connection layer between artificial intelligence systems and diverse biomedical resources.

소개

BioContextAI Knowledgebase is a Model Context Protocol (MCP) server that offers a unified access layer for numerous biomedical resources. It enables agentic large language models (LLMs) to efficiently retrieve verified information and execute domain-specific tasks in biomedical research. Unlike traditional methods requiring custom integrations for each resource, this server streamlines the process, fostering interoperability between AI systems and critical domain-specific data sources.

주요 기능

  • Extendable with new tools via OpenAPI specification through a configuration file
  • Enables agentic LLMs to retrieve verified biomedical information and perform domain-specific tasks
  • 1 GitHub stars
  • Unified access to diverse biomedical APIs via Model Context Protocol (MCP)
  • Supports flexible deployment options including Docker, local setups, and integration with various coding agents (VS Code, Cursor)
  • Integrates with over a dozen external biomedical APIs including EuropePMC, KEGG, OpenTargets, and AlphaFold DB

사용 사례

  • Developing AI applications that require interoperability with multiple, disparate biomedical databases and tools
  • Empowering AI agents to perform complex biomedical research tasks by accessing verified knowledge bases
  • Connecting large language models and other AI systems to biomedical data sources for information retrieval