BioContextAI Knowledgebase MCP
OfficialAn MCP server that provides standardized access to biomedical knowledge bases and resources, enablin...
Click the “Install Now” button for the BioContextAI / Knowledgebase MCP entry to open the FastMCP connection interface (this opens the environment-variable form where you enter key/value pairs). (fastmcp.me)
In the FastMCP dialog, enter the MCP server environment variables into the fields labelled for ENV key / value. At minimum, populate the example values shown in the project README:
- UV_PYTHON = 3.12
- MCP_ENVIRONMENT = PRODUCTION (use DEVELOPMENT for stdio mode)
- PORT = 8000
Enter each as a separate ENV key / value pair in the FastMCP form and save. (github.com)
If you will run the server locally instead of via FastMCP, set the same environment variables in your shell / container instead (example):
export MCP_ENVIRONMENT=PRODUCTION && export PORT=8000 && uvx biocontext_kb. (github.com)Only add API keys / tokens in the FastMCP interface for external services you intend to use. The README lists integrated resources and any licensing notes (e.g., KEGG has proprietary licensing restrictions) — obtain credentials or licenses from the specific provider’s developer portal and paste the resulting key into FastMCP as the provider’s expected ENV name. Consult the project API docs if you need the exact ENV variable name for a given integration. (github.com)
After saving the ENV values in FastMCP, use the FastMCP “test/connect” or the client listing tools to verify the MCP connects and lists available tools (e.g., list_tools via FastMCP/Client). If a test fails, re-check the ENV names/values and any required licensing or network access (firewall, port forwarding). (fastmcp.me)
Security notes: only paste secrets into the FastMCP ENV form (not into public chat), store long-lived credentials securely, and provide only the keys you actually need for your chosen tools. (fastmcp.me)
How to Install BioContextAI Knowledgebase MCP
Install BioContextAI Knowledgebase MCP MCP server with one click through FastMCP. Choose your preferred AI development tool below:
Claude Desktop
Click "Claude Desktop" in Quick Start
Cursor IDE
Click "Cursor IDE" in Quick Start
VS Code
Click "VS Code" in Quick Start
BioContextAI Knowledgebase MCP is an officially maintained MCP server, verified by the FastMCP team.
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The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
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Visit Gemini CLI documentation for installation instructions.
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Visit Claude Code documentation for installation instructions.
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