MCP Plus
Requires Python 3.8+ runtime environment for executing the MCP server and subagent file operations
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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.
Related MCP server: projscan
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
This server cannot be deployed
Maintenance
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