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.
Overview
What is MCP Server?
The Model Context Protocol (MCP) Server is a modular FastAPI-based server designed for reading local JSON and Excel files via an HTTP API. It is easily extensible for use with automation tools like Flowsie AI and n8n.
How to use MCP Server?
To use the MCP Server, install the required dependencies, run the server locally using Uvicorn, and access the API endpoints to read local files.
Key features of MCP Server?
- Supports reading local JSON and Excel files.
- Returns data in JSON format.
- Easily extensible for integration with other tools.
- Docker support for easy deployment.
Use cases of MCP Server?
- Integrating with agent-based systems for data processing.
- Automating workflows with tools like Flowsie AI and n8n.
- Reading and processing local data files for applications.
FAQ from MCP Server?
- What file formats does MCP Server support?
MCP Server supports JSON and Excel file formats.
- How do I run the MCP Server?
You can run the server locally using Uvicorn or deploy it using Docker.
- Is there any license for MCP Server?
Yes, it is available under the MIT License.