LoopingAgent

English blog + agentic workflows architect profile (Paris): search, full text, projects, booking.

使うべきか

品質と安全性

A
説明の品質
100%
スキーマの完全性
73%
命名の品質
98%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~998トークン数(ツール定義)
~558 B一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 0.78%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

{
  "mcpServers": {
    "loopingagent-mcp": {
      "url": "https://loopingagent.com/api/mcp"
    }
  }
}

リモートエンドポイント

https://loopingagent.com/api/mcpstreamable-http

できること

ツール一覧

ツール(9)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢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 who he is and how to reach him.

入力スキーマ

{
  "type": "object",
  "properties": {}
}
🟢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 assess fit for AI/agentic development roles.

入力スキーマ

{
  "type": "object",
  "properties": {}
}
🟢list_articles(category, limit)

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 find articles on a topic, and get_article to read one in full.

入力スキーマ

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "enum": [
        "agentic-ai",
        "blockchain"
      ],
      "description": "Filter articles by category."
    },
    "limit": {
      "type": "number",
      "description": "Maximum number of articles to return (default: all of them)."
    }
  }
}
🟢get_article(slug, include_content)

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. Use list_articles or search_articles first to find the slug.

入力スキーマ

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Article slug. Ex: browser-automation, agentic-commerce-protocol, langgraph-generative-ui"
    },
    "include_content": {
      "type": "boolean",
      "description": "Include the full article text (default: true). Set to false for metadata only, which is cheaper."
    }
  },
  "required": [
    "slug"
  ]
}
🟢list_projects(category, status)

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 returns the full description.

入力スキーマ

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "enum": [
        "ai",
        "web"
      ],
      "description": "Filter by project family: ai (agentic AI) or web."
    },
    "status": {
      "type": "string",
      "enum": [
        "live",
        "oss"
      ],
      "description": "Filter by status: live (deployed in production) or oss (open source, not deployed)."
    }
  }
}
🟢get_project(name)

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.

入力スキーマ

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Project name. Ex: AgentRecruteur, BullionRadar, ActionArgent, StreetBodies, VersatileAgent"
    }
  },
  "required": [
    "name"
  ]
}
🟢search_articles(query, category, limit)

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 find an article to quote or cite on a topic — ex. 'ERC-4337 paymaster', 'Golang pointers', 'evaluating LLM applications', 'MCP server'.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search terms (keywords, topic or technology). Multi-word queries are scored per term."
    },
    "category": {
      "type": "string",
      "enum": [
        "agentic-ai",
        "blockchain"
      ],
      "description": "Restrict the search to one category."
    },
    "limit": {
      "type": "number",
      "description": "Maximum number of results (default: 5, max: 20)."
    }
  },
  "required": [
    "query"
  ]
}
🟢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.

入力スキーマ

{
  "type": "object",
  "properties": {}
}
🟢book_call(topic)

Get the booking link to schedule a free 30-minute call with Laurent Knauss (Cal.com). The agent should present this link to the user so they can pick a slot. Optional topic hint is allowed but the actual slot selection happens on Cal.com.

入力スキーマ

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "Optional topic for the call (e.g. 'agentic AI project')."
    }
  }
}

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