What transport or protocol does tsuki_mcp_filesystem_server use?
It uses the JSON-RPC protocol over TCP/IP, listening on a configurable host and port.
@yuutotsuki
基本情報
A custom MCP-compatible server for searching local filesystem files. Works with OpenAI's Agent SDK via the resources/list method. ローカルファイルの検索を行う、自作のMCP対応サーバーです。 Agent SDK の `resources/list` に対応しています。
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": {
"tsuki_mcp_filesystem_server": {
"command": "python",
"args": [
"main.py"
]
}
}
}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。
tsuki_mcp_filesystem_server is a custom Model Context Protocol (MCP) server that provides file search and open operations over the local filesystem. It is designed for integration with OpenAI's Agent SDK, enabling AI agents to list and open local files via the resources/list method.
Clone the repository, install dependencies with pip install -r requirements.txt, copy .env.example to .env, configure the ROOT_PATH, HOST, PORT, and LOG_LEVEL settings, then start the server with python main.py. The server listens for MCP client requests on the configured host and port.
It uses the JSON-RPC protocol over TCP/IP, listening on a configurable host and port.
Python 3 and the packages listed in `requirements.txt` are required.
You must set the `ROOT_PATH` environment variable (or in `.env`) to specify the directory to be searched. Optionally, set `HOST`, `PORT`, and `LOG_LEVEL`.
The README states it is a custom, lightweight server focused on file search and open operations via the `resources/list` method.
The server only accesses files under the configured `ROOT_PATH` directory on the local filesystem. No external storage is used.
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