What are the prerequisites for using Elixir MCP Server?

You need Elixir 1.18 or higher and Erlang/OTP 27 or higher. An API key is needed for weather retrieval.

How do I test the Elixir MCP Server?

Use the NXP Inspector client. Configure it to connect via SSE to the server endpoint and interact with available tools.

What is the Elixir MCP Server?

It's an Elixir implementation of the Model Context Protocol (MCP) server, using Server-Sent Events (SSE) for real-time communication between AI models and local/remote resources.

What transport protocol does Elixir MCP Server use?

The Elixir MCP Server uses Server-Sent Events (SSE) for real-time, one-way communication from the server to the client.

Can I add my own tools to the Elixir MCP Server?

Yes! Modify the `handle_initialize/2` function to define your tool and implement the `handle_call_tool/3` clauses to handle their specific logic.

Elixir

Name: Elixir
Author: epinault

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Provides an example implementation of a Model Context Protocol (MCP) server using Elixir and SSE transport.

This project demonstrates how to build an MCP server using Elixir, leveraging Bandit and Plug. The server uses Server-Sent Events (SSE) for transport and offers basic tools like listing files, echoing messages, and fetching weather information. It is designed to interact with AI models, allowing them to securely access local and remote resources through a standardized protocol. The project includes instructions for setup, testing with the NXP Inspector client, and extending the server with custom tools.

主な機能

01Includes example tools for file listing, message echoing, and weather retrieval

02Easy to extend with custom tools by modifying handler functions

03Implements the Model Context Protocol (MCP)

044 GitHub stars

05Integrates with the NXP Inspector client for testing

06Uses Server-Sent Events (SSE) for real-time communication

ユースケース

01Enabling AI models to interact with local file systems

02Providing AI models with real-time data from external APIs

03Creating a standardized interface for AI models to access various resources