Model Context Protocol (MCP) Server
@AyushRatan1
About Model Context Protocol (MCP) Server
No overview available yet
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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Overview
What is Model Context Protocol (MCP) Server?
The Model Context Protocol (MCP) Server is a simple FastAPI-based REST API that doubles a list of numerical inputs. It includes optional session management and API key authentication, and is designed for integration with applications such as Excel via HTTP.
How to use Model Context Protocol (MCP) Server?
Install dependencies with pip install -r requirements.txt, then start the server with uvicorn main:app --reload. Send a POST request to http://localhost:8000/mcp/process with a JSON body containing an inputs array of numbers. Optionally include session_id and api_key headers (demo key: "demo_key").
Key features of Model Context Protocol (MCP) Server
- Doubles each numerical input value
- Session management via optional
session_idheader - API key authentication with a demo key
- Excel VBA integration example provided
- CORS middleware for cross-origin requests
- FastAPI-based, simple REST API
Use cases of Model Context Protocol (MCP) Server
- Processing numerical data directly from Excel using VBA
- Prototyping MCP client-server interactions
- Performing quick batch doubling of numbers in a pipeline
- Demonstrating session-based state in an API
FAQ from Model Context Protocol (MCP) Server
What does the Model Context Protocol (MCP) Server do?
It accepts a list of numbers and returns a list where each number has been doubled.
How do I authenticate with the server?
Authentication is optional. You can send an api_key header; the demo key is "demo_key".
Where is session state stored?
Session state is stored in memory. It will be lost if the server restarts.
Can I use the server from Excel?
Yes, the README provides a complete VBA macro that sends a request to the server and displays the results.
What transport does the server use?
The server communicates over HTTP REST at http://localhost:8000.
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