Requires Python 3.8+ runtime environment for executing the MCP server and subagent file operations
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Plusanalyze the authentication module in our codebase and summarize its architecture"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
| Ask natural language questions about any codebase. Returns comprehensive analysis with file references that the LLM can read using view_file tools. |
| Delegates basic tasks to a smaller, faster LLM that can read/write files autonomously. |
| Post a message to a project's chatroom. |
| Read recent messages from the chatroom. |
| View all todos for a project. |
| 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.shLicense
MIT
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