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Ech0 Mcp Main

@ech0aion 10 months ago
1 MIT
FreeCommunity
AI Systems
MCP Server with ech0 for efficient management of coding preferences.

Overview

What is Ech0 Mcp Main

ech0-mcp-main is an MCP server designed to manage coding preferences efficiently using the ech0 platform. It provides tools for storing, retrieving, and searching coding preferences, making it easier for developers to manage their coding practices.

Use cases

Use cases include storing best practices for coding, retrieving implementation details for specific projects, and searching for coding solutions across multiple programming languages.

How to use

To use ech0-mcp-main, clone the repository, set up a virtual environment, install dependencies, and configure your ech0 API key. Start the MCP server and connect to the SSE endpoint in Cursor to manage coding preferences.

Key features

Key features include: 1) add_coding_preference for storing code snippets with comprehensive context; 2) get_all_coding_preferences for retrieving all stored preferences; 3) search_coding_preferences for semantically searching through stored preferences.

Where to use

ech0-mcp-main can be used in software development environments where managing coding practices and preferences is essential, particularly in teams that require consistent coding standards.

Content

MCP Server with ech0 for Managing Coding Preferences

This demonstrates a structured approach for using an MCP server with ech0 to manage coding preferences efficiently. The server can be used with Cursor and provides essential tools for storing, retrieving, and searching coding preferences.

Installation

  1. Clone this repository
  2. Initialize the uv environment:
uv venv
  1. Activate the virtual environment:
source .venv/bin/activate
  1. Install the dependencies using uv:
# Install in editable mode from pyproject.toml
uv pip install -e .
  1. Update .env file in the root directory with your ech0 API key:
ech0_API_KEY=your_api_key_here

Usage

  1. Start the MCP server:
uv run main.py
  1. In Cursor, connect to the SSE endpoint, follow this doc for reference:
http://0.0.0.0:8080/sse
  1. Open the Composer in Cursor and switch to Agent mode.

Demo with Cursor

https://github.com/user-attachments/assets/56670550-fb11-4850-9905-692d3496231c

Features

The server provides three main tools for managing code preferences:

  1. add_coding_preference: Store code snippets, implementation details, and coding patterns with comprehensive context including:

    • Complete code with dependencies
    • Language/framework versions
    • Setup instructions
    • Documentation and comments
    • Example usage
    • Best practices
  2. get_all_coding_preferences: Retrieve all stored coding preferences to analyze patterns, review implementations, and ensure no relevant information is missed.

  3. search_coding_preferences: Semantically search through stored coding preferences to find relevant:

    • Code implementations
    • Programming solutions
    • Best practices
    • Setup guides
    • Technical documentation

Why?

This implementation allows for a persistent coding preferences system that can be accessed via MCP. The SSE-based server can run as a process that agents connect to, use, and disconnect from whenever needed. This pattern fits well with “cloud-native” use cases where the server and clients can be decoupled processes on different nodes.

Server

By default, the server runs on 0.0.0.0:8080 but is configurable with command line arguments like:

uv run main.py --host <your host> --port <your port>

The server exposes an SSE endpoint at /sse that MCP clients can connect to for accessing the coding preferences management tools.

Tools

No tools

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