Documentation Search (Groq + Serper)
Built by AIwithhassan using FastMCP, this server provides intelligent web scraping and documentation search capabilities by integrating Serper API for web search with Groq's LLM API for content processing. Rather than using traditional HTML parsing, it leverages Groq's language models to intelligently clean and structure web content by processing it in chunks, making it particularly valuable for developers who need to quickly access and understand documentation from multiple sources. The server focuses on popular development libraries like LangChain, LlamaIndex, OpenAI, and UV package manager, extracting clean, readable content that can be easily consumed in conversations.
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/aiwithhassan/mcp-server-python
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Documentation Search (Groq + Serper) 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.