knowledgebase-mcp
Verified Safeby biocontext-ai
Overview
Provides a standardized connection layer between artificial intelligence systems (LLMs) and biomedical research resources for information retrieval and domain-specific tasks.
Installation
export MCP_ENVIRONMENT=PRODUCTION && export PORT=8000 && uvx biocontext_kbEnvironment Variables
- MCP_ENVIRONMENT
- PORT
- MCP_INCLUDE_KEGG
- MCP_INCLUDE_SCHOLARLY
Security Notes
The project uses standard Python libraries like 'requests' and 'gql' for external API calls, which are generally secure. Input validation is present for some tool parameters (e.g., DOI, NCT ID formats), mitigating direct injection risks into external API calls. No 'eval' or direct arbitrary code execution on user input was observed. Hardcoded secrets are not present in the provided code, with sensitive configurations like port and environment mode managed via environment variables. A potential indirect risk lies in the 'openapi/config.yaml' which allows users to configure additional OpenAPI servers; if this file is compromised or misconfigured with malicious external URLs, it could lead to SSRF-like issues, but this assumes prior file system access to the server. The README explicitly warns users about adherence to external API usage limits and licensing, demonstrating security awareness.
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