The docs-fetcher-mcp server enables AI assistants to retrieve package documentation from various programming language ecosystems without requiring API keys. Built by cdugo, it leverages the Model Context Protocol to fetch library documentation on demand, supporting caching for improved performance. The implementation is containerized with Docker and configurable through Smithery.ai, making it easy to deploy in different environments. This tool is particularly valuable for developers and AI workflows that need access to up-to-date library documentation directly within conversations, eliminating the need to switch contexts or manually search for reference materials.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.