Documentation Retrieval (Python Libraries)
The Documentation Retrieval MCP Server (DOCRET) enables AI assistants to access up-to-date documentation for Python libraries including LangChain, LlamaIndex, and OpenAI. Built by S.S.Sreedeep, it leverages the Serper API to perform targeted web searches within documentation sites and uses BeautifulSoup to extract readable content from HTML pages. The server exposes a single tool that allows querying specific libraries with search terms, making it ideal for AI applications that need to reference current library documentation without relying on potentially outdated training data.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/sreedeep-ss/docret-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Documentation Retrieval (Python Libraries) 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.