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Le Chat Ai MCP Server

@rocnubie

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

rocnubie

投稿者

Chen Roc

Le Chat Ai MCP Server について

概要はまだありません

Le Chat Ai MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "lechatai-mcp": {
      "command": "node",
      "args": [
        "/absolute/path/to/lechatai-mcp/src/index.mjs"
      ]
    }
  }
}

Le Chat Ai MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Le Chat Ai Mcp Server?

Le Chat Ai Mcp Server is a Model Context Protocol server that exposes the canonical knowledge surface of Mistral’s Le Chat AI platform — including models, prompts, pricing, FAQ, and official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. It is read-only, requires no API keys, has no usage quotas, and achieves approximately 50 ms cold start time. It serves as an independent guide and resource hub for evaluating Le Chat.

How to use Le Chat Ai Mcp Server?

Install via Smithery using npx -y @smithery/cli install lechatai-mcp --client claude (replace claude with cursor, windsurf, or continue), or clone the repository from GitHub and configure the server manually in your MCP client’s config file (e.g., claude_desktop_config.json). The server runs over stdio transport with zero configuration required.

Key features of Le Chat Ai Mcp Server

  • Flash Answers: Near-instantaneous responses using Cerebras WSE-3 hardware (≈1,000 tokens/sec).
  • Deep Research: Automated research mode producing structured, cited reports.
  • Document analysis: Native large PDF import with summarization and in-line citations.
  • MCP connectors: Over 20 third-party integrations (GitHub, Snowflake, Atlassian, etc.).
  • Memories: Persistent cross-session context for personalized interactions.
  • Canvas workspace: Collaborative document-style workspace for long-form output.
  • No Telemetry mode: Available on Pro tier for privacy-conscious teams.

Use cases of Le Chat Ai Mcp Server

  • Enterprise research workflows: Produce sourced briefings on competitors, technologies, or regulations.
  • Document review: Legal, compliance, and finance professionals analyze large PDFs with cited answers.
  • Developer tooling: Query codebases, pull requests, or data pipelines via natural language.
  • Privacy-first AI adoption: European organizations evaluate Le Chat as a GDPR-aligned alternative.
  • AI platform comparison: Compare Le Chat’s pricing ($14.99/month Pro) and capabilities against competitors.

よくある質問

1

What does this server offer compared to using Le Chat directly?

The server provides a structured, read-only knowledge surface about Le Chat — models, pricing, FAQ, and official links — to AI clients, whereas direct use of Le Chat involves interactive conversation with the platform itself.

2

What are the runtime requirements?

Node.js >= 18. The server uses stdio transport and has no external dependencies beyond the base MCP libraries. Cold start is about 50 ms.

3

Where does the data come from?

All data is sourced from the public website lechatai.online, an independent guide to Mistral’s Le Chat. No proprietary or user-specific data is exposed.

4

Are there any known limitations?

The server is read-only and does not support live interaction with Le Chat’s conversational API. It only returns static content from the site’s knowledge surface.

5

What transport and authentication does it use?

It uses stdio transport (no HTTP or WebSocket). No authentication or API keys are required.

コメント

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