MCP Plus

A lightweight, open suite of MCP tools designed to enhance LLM capabilities.

Overview

MCP Plus is a Model Context Protocol (MCP) server that extends AI agents with powerful, purpose-built tools for codebase understanding, task delegation, multi-agent coordination, and project management. Built to be open and lightweight, it runs as a single FastMCP server and integrates seamlessly with any MCP-compatible client.

Tools

Function	Description
`context_engine`	Ask natural language questions about any codebase. Returns comprehensive analysis with file references that the LLM can read using view_file tools.
`subagent`	Delegates basic tasks to a smaller, faster LLM that can read/write files autonomously.
`chatroom_send_message`	Post a message to a project's chatroom.
`chatroom_read_messages`	Read recent messages from the chatroom.
`todo_list`	View all todos for a project.
`todo_update`	Add, complete, or remove todos.

Context Engine

A fast and cheap context retrieval tool that enables LLMs to understand your codebase with speed and accuracy. Better context = better code.

It can analyze an entire codebase in 1 second for less than $0.01.

Features:

Intelligent file selection based on question relevance
File references with line numbers for the LLM to read
Markdown-formatted analysis
Overview of file tree

Subagent

A specialized, efficient agent capable of autonomous file operations. Use this to delegate basic tasks, allowing the main model to focus on higher-level reasoning and complex architecture.

Chatroom

A multi-agent coordination tool that facilitates communication between agents working on the same codebase. It ensures agents stay synchronized and avoid duplicating work.

Todo

A simple task management system for tracking project-specific to-dos directly within your workflow. Useful if your CLI or IDE lacks integrated task management.

Installation

Prerequisites

Python 3.8+
OpenRouter API key

Configuration

Add to your MCP client configuration:

{
  "mcpServers": {
    "mcp_plus": {
      "command": "/path/to/mcp_plus/venv/bin/python",
      "args": ["/path/to/mcp_plus/mcp_server.py"],
      "env": {
        "OPENROUTER_API_KEY": "your_api_key_here",
        "MODEL_NAME": "google/gemini-2.5-flash-lite",  
        "SUBAGENT_MODEL": "moonshotai/kimi-k2-thinking" 
      }
    }
  }
}

Or run directly:

./run_server.sh

License

MIT

MCP-Plus