MCP Server

@sathishj21

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基本情報

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開発者ツール

トランスポート

stdio

作者

sathishj21

MCP Server について

A modular FastAPI-based MCP (Model Context Protocol) server that supports reading local JSON and Excel files via HTTP API. Easily extensible for agents and automation tools like Flowsie AI or n8n. Includes Docker support and clean production-ready structure.

#mcp-server #fastapi #http-api

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": {
    "mcp-server-sathishj21": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp-server",
        "."
      ]
    }
  }
}

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 🧠 Model Context Protocol (MCP) Server?

It is a modular FastAPI‑based MCP server designed for use in agent‑based systems and orchestration tools like Flowsie AI and n8n. It currently supports reading local JSON and Excel files and returns the data in JSON format.

How to use 🧠 Model Context Protocol (MCP) Server?

Install dependencies with pip install -r requirements.txt (requires Python 3.10+), then run locally with uvicorn app.main:app --reload --port 8000. Use the endpoint GET /local/read with a query parameter filename pointing to a file inside app/local_data/. A Docker image can be built with docker build -t mcp-server . and run with docker run -p 8000:8000 mcp-server.

Key features of 🧠 Model Context Protocol (MCP) Server

Reads local JSON and Excel files and returns JSON
Exposes a single REST endpoint: GET /local/read
Supports .json, .xlsx, and .xls file formats
Configurable via the app/configs/ directory
Can be run locally or inside a Docker container
Built with FastAPI and includes auto‑generated Swagger docs at /docs

Use cases of 🧠 Model Context Protocol (MCP) Server

Providing structured data from local files to AI agents or workflows
Integrating with orchestration tools like Flowsie AI and n8n
Serving as a lightweight file‑to‑JSON bridge for agent‑based systems
Testing MCP server functionality before adding additional connectors

よくある質問

What file formats are supported?

The server supports `.json` files and Excel files (`.xlsx` / `.xls`). All data is returned as JSON (list or dict).

How do I specify which file to read?

Use the `GET /local/read` endpoint with a query parameter `filename`. The file must be placed inside the `app/local_data/` folder.

What are the runtime requirements?

Python 3.10 or higher is required. Dependencies are listed in `requirements.txt`.

Is there a Docker image available?

Yes. Build the image with `docker build -t mcp-server .` and run it with `docker run -p 8000:8000 mcp-server`. The server is then accessible at `http://localhost:8000/docs`.

What is the license?

The server is released under the MIT License, allowing free use and modification.

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