LoopingAgent

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.loopingagent/loopingagent-mcp and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 28 Sept 2026. Not supplied by the maker.

• get_profile

  Full professional profile of Laurent Knauss: title, location, availability, contact email, social profiles (GitHub, LinkedIn, X), certifications, and Cal.com booking link. Use this first to understand

• get_skill

  Laurent Knauss' technical skills, grouped by domain (Agentic AI, RAG & Voice AI, Software engineering & Cloud, Automation & tooling). Each skill has a label and an optional short detail. Use this to a

• list_articles

  List articles published on loopingagent.com (English technical blog: agentic AI, MCP, LangGraph, TypeScript, blockchain). Returns slug, title, category and description for each. Use search_articles to

• get_article

  Get a single article from loopingagent.com: metadata (category, description, cover, canonical URL), the FULL plain-text content (so the agent can quote and cite it accurately) and 3 related articles.

• list_projects

  Projects built and shipped by Laurent Knauss (agentic AI products and full-stack web apps), with domain, live status, one-line positioning and tech stack. Use it to assess his delivery track record —

• get_project

  Full details of one project shipped by Laurent Knauss: positioning, complete description, tech stack, live URL and status. Use list_projects first for the exact names.

• search_articles

  Full-text search across every article on loopingagent.com (title, description and body text). Returns the most relevant matches with a snippet of the matching passage, ranked by relevance. Use this to

• list_categories

  List the loopingagent.com article categories with their article counts and slugs. Use it to browse the blog by theme (Agentic AI, blockchain) before fetching an article.

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