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biocontext-ai/knowledgebase-mcp

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BioContextAI 生物医学代理人工智能知识库 MCP 服务器

概览

一个用于生物医学研究的模型上下文协议(MCP)服务器,提供人工智能系统与生物医学资源之间的标准化连接层。文档和使用指南可在:https://biocontext.ai 获取。 是针对常见生物医学资源的MCP服务器实现,使代理大型语言模型(LLMs)能够检索经过验证的信息并执行领域特定任务。与以往需要为每个资源定制集成的方法不同,BioContextAI KB MCP 通过模型上下文协议提供统一访问层,实现人工智能系统与领域特定数据源之间的互操作性。 知识库MCP提供以下两种形式: - 一个开源的本地托管软件包(见安装)- - 一个无需设置即可集成的远程服务器,位于https://biocontext-kb.fastmcp.

概述(AI 翻译)

一个用于生物医学研究的模型上下文协议(MCP)服务器,提供人工智能系统与生物医学资源之间的标准化连接层。文档和使用指南可在:https://biocontext.ai 获取。

概述

BioContextAI 知识库 MCP 是针对常见生物医学资源的 MCP 服务器实现,使代理大型语言模型(LLM)能够检索验证信息并执行领域特定任务。与以往需要为每个资源定制集成的方法不同,BioContextAI KB MCP 通过模型上下文协议提供统一访问层,实现 AI 系统与领域特定数据源之间的互操作性。

知识库MCP提供以下两种形式:

[!警告]

本页由 AI 翻译,技术细节请以原文为准。

README

以下为原文 README 节选,完整内容请查看原文。

BioContextAI - Knowledgebase MCP

A Model Context Protocol (MCP) server for biomedical research that provides a standardized connection layer between artificial intelligence systems and biomedical resources. Documentation and usage guides are available at: https://biocontext.ai

Overview

BioContextAI Knowledgebase MCP is an MCP server implementation for common biomedical resources, enabling agentic large language models (LLMs) to retrieve verified information and perform domain-specific tasks. Unlike previous approaches that required custom integration for each resource, BioContextAI KB MCP provides a unified access layer through the Model Context Protocol that enables interoperability between AI systems and domain-specific data sources.

The Knowledgebase MCP is available both as:

  • An open-source software package for local hosting (see Installation) - Choose this option for Claude Desktop, IDEs or your own agentic systems
  • A remote server for setup-free integration at https://biocontext-kb.fastmcp.app/mcp (for testing purposes only, subject to fair use)

[!WARNING] If possible, we encourage you to run BioContextAI Knowledgebase MCP locally to avoid rate limits and ensure the service’s availability for applications that rely on remote hosting.

The Knowledgebase MCP is part of the wider BioContextAI project. The BioContextAI Registry catalogues community servers that expose biomedical databases and analysis tools, providing the community with a resource for tool discovery and distribution. The registry index can be found at: https://biocontext.ai/registry.

Implemented Tools

在 GitHub 查看完整 README

安装

uvx biocontext_kb@latest
新手?先看 mcpskill.org 教程 →

配置

{ "mcpServers": { "biocontext_kb": { "command": "uvx", // On Mac, use "brew install uv" "args": [ "biocontext_kb@latest" ], "env": { "UV_PYTHON": "3.12" } } } }