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