Documentation Search
This documentation search MCP server by Anton Mishel provides AI assistants with direct access to technical documentation across 40+ popular frameworks, libraries, and platforms including Python, React, FastAPI, AWS, OpenAI, and more. The implementation features intelligent caching with configurable TTL, categorized documentation sources with metadata like learning curves and tags, and HTTP-based content retrieval optimized for AI consumption. Built for developers who need quick access to official documentation during coding workflows, it eliminates the need to manually search through multiple documentation sites by providing a unified interface for retrieving relevant technical information across the modern development stack.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Documentation Search from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.