Brest MCP Server

Name: Brest MCP Server
Author: Nijal-AI

@Nijal-AI

Repository

About Brest MCP Server

No overview available yet

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "brest-mcp-server": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Brest MCP Server?

Brest MCP Server is an implementation of the Model Context Protocol (MCP) for the Brest region. It provides infrastructure for managing MCP-based interactions and includes an MCP inspector for debugging and monitoring. It is built with Python 3.12.3 and uses uv for dependency management.

How to use Brest MCP Server?

Clone the repository, create a virtual environment with uv venv, install dependencies with uv sync, then start the server with npx @modelcontextprotocol/inspector uv run brest-mcp. Access the inspector at http://localhost:5173. A client script is also available in the tools directory.

Key features of Brest MCP Server

Supports the Model Context Protocol for the Brest region.
Includes a built-in MCP Inspector for debugging.
Manages dependencies with uv and Python 3.12.3.
Provides a client script in the tools directory.
Offers a simple, reliable deployment workflow.

Use cases of Brest MCP Server

Deploy and manage MCP services locally.
Debug and monitor MCP interactions using the inspector.
Develop and test MCP-based applications for the Brest region.
Enable AI agents to interact with Brest MCP Server via the provided client.

FAQ from Brest MCP Server

What are the runtime dependencies?

Python 3.12.3 (or compatible), uv for virtual environment and dependency management, and Node.js for the MCP Inspector.

How do I start the server?

Activate the virtual environment, then run npx @modelcontextprotocol/inspector uv run brest-mcp. The inspector’s web interface will be available at http://localhost:5173.