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codingbuddy

by JeremyDev87·31·Score 44

Codingbuddy is an MCP server that orchestrates 37 specialized AI agents through a PLAN → ACT → EVAL workflow to improve code quality.

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Overview

Codingbuddy is a comprehensive MCP server that coordinates multiple AI agents across various tools to deliver code quality comparable to a team of human experts. It features a structured development cycle with PLAN, ACT, and EVAL modes, plus an AUTO mode that runs the full cycle autonomously. The system tracks impact metrics and generates detailed session reports showing issues prevented, agents dispatched, and quality improvements.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Improving code quality and security in software development projects
you:Automating code reviews and technical planning across multiple AI tools
you:Generating detailed impact reports to demonstrate AI coding improvements
you:What AI tools are supported by Codingbuddy?
you:How does Codingbuddy measure code quality improvements?

When to choose this

Choose Codingbuddy when you need structured AI-driven development with measurable quality improvements across multiple coding tools and want to coordinate specialized AI agents for different aspects of software development.

When NOT to choose this

Avoid Codingbuddy if you prefer a simpler coding assistant or need a solution that works with proprietary AI models not included in the supported list.

Tools this server exposes

9 tools extracted from the README
  • get_session_impact

    Generate a summary report of coding session impact including issues prevented, agents dispatched, and quality improvements.

  • ship

    Run CI checks, create branch, commit, push, and pull request.

  • retrospective

    Analyze session archives for patterns and improvements.

  • test-driven-development

    Enforce Red → Green → Refactor TDD cycle.

  • systematic-debugging

    Perform root cause analysis before proposing fixes.

  • security-audit

    Conduct OWASP Top 10 review and scan for secrets.

  • performance-optimization

    Profiling-first optimization workflow.

  • refactoring

    Apply Tidy First principles with test safety.

  • brainstorming

    Explore intent and requirements before building.

Note: Tool names inferred from the 'Built-in Skills' section, but actual MCP tool signatures not explicitly documented in the README.

Comparable tools

cursor-mcpgithub-copilot-mcpclaude-code-mcp

Installation

# 1. Install
npm install -g codingbuddy

# 2. Initialize your project
npx codingbuddy init

# 3. Add to your AI tool's MCP config
{
  "mcpServers": {
    "codingbuddy": {
      "command": "npx",
      "args": ["codingbuddy", "mcp"]
    }
  }
}

FAQ

What AI tools are supported by Codingbuddy?
Codingbuddy supports 9 AI tools including Claude Code, Cursor, GitHub Copilot, Amazon Q, and others. See the full list in the README.
How does Codingbuddy measure code quality improvements?
Codingbuddy tracks impact metrics throughout each session and generates a Session Impact Report showing issues prevented, agents dispatched, and mode transitions.

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Last updated · Auto-generated from public README + GitHub signals.