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Brest MCP Server

@Nijal-AI

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

Nijal-AI

Brest MCP Server について

概要はまだありません

Brest 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": {
    "brest-mcp-server": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Brest 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 Brest MCP Server?

Brest MCP Server is an implementation of the Model Context Protocol (MCP) for the Brest region. It provides infrastructure for managing MCP-based interactions and includes an MCP inspector for debugging and monitoring. It is built with Python 3.12.3 and uses uv for dependency management.

How to use Brest MCP Server?

Clone the repository, create a virtual environment with uv venv, install dependencies with uv sync, then start the server with npx @modelcontextprotocol/inspector uv run brest-mcp. Access the inspector at http://localhost:5173. A client script is also available in the tools directory.

Key features of Brest MCP Server

  • Supports the Model Context Protocol for the Brest region.
  • Includes a built-in MCP Inspector for debugging.
  • Manages dependencies with uv and Python 3.12.3.
  • Provides a client script in the tools directory.
  • Offers a simple, reliable deployment workflow.

Use cases of Brest MCP Server

  • Deploy and manage MCP services locally.
  • Debug and monitor MCP interactions using the inspector.
  • Develop and test MCP-based applications for the Brest region.
  • Enable AI agents to interact with Brest MCP Server via the provided client.

よくある質問

1

What are the runtime dependencies?

Python 3.12.3 (or compatible), `uv` for virtual environment and dependency management, and Node.js for the MCP Inspector.

2

How do I start the server?

Activate the virtual environment, then run `npx @modelcontextprotocol/inspector uv run brest-mcp`. The inspector’s web interface will be available at `http://localhost:5173`.

3

Is there a client to interact with the server?

Yes, a Python client is provided in the `tools` directory. Use `uv run python tools/client.py src/server.py` to run it.

4

What is the license?

The project is licensed under the MIT License.

5

Where can I access the inspector?

The proxy listens on `http://localhost:3000` and the web interface on `http://localhost:5173`.

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