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revibe-mcp

v0.1.1

Published

MCP server for Revibe codebase analysis — works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client

Readme

revibe-mcp

MCP server for Revibe codebase analysis. Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client.

Analyze any GitHub repo — get architecture, file roles, execution flows, system design Q&A, and structured agent context.

Quick Start (Node.js — zero install)

Add to your MCP client config:

{
  "mcpServers": {
    "revibe": {
      "command": "npx",
      "args": ["revibe-mcp"]
    }
  }
}

Then ask your AI assistant to "log in to Revibe" — it will open your browser for a one-time signup.

Quick Start (Python)

pip install revibe-mcp
revibe-mcp-auth login
{
  "mcpServers": {
    "revibe": {
      "command": "revibe-mcp"
    }
  }
}

Where to add the config

| Client | Config location | |--------|----------------| | Claude Desktop | ~/Library/Application Support/Claude/claude_desktop_config.json | | Claude Code | .mcp.json in your project root | | Cursor | Settings > MCP Servers > Add | | Windsurf | MCP config in settings |

Auth

Two options:

Option A: Browser login (recommended)

# Node.js
npx revibe-mcp-auth login

# Python
revibe-mcp-auth login

Opens your browser — sign up or log in, click "Authorize". API key saved automatically to ~/.config/revibe/credentials.json.

Option B: Manual API key

Get a key from revibe.codes/settings, then pass it via env:

{
  "mcpServers": {
    "revibe": {
      "command": "npx",
      "args": ["revibe-mcp"],
      "env": {
        "REVIBE_API_KEY": "rk_live_your_key_here"
      }
    }
  }
}

Tools

| Tool | Description | |------|-------------| | revibe_login | Log in via browser — one-time setup | | analyze_repo | Submit a GitHub repo for analysis (auto-detects from git remote) | | check_status | Check progress of an analysis job | | get_summary | Architecture, modules, patterns overview | | get_section | Drill into architecture, file_roles, system_design_qa, etc. | | get_agent_context | Full structured JSON optimized for AI agents |

Usage

Once configured, just ask your AI assistant:

  • "Analyze this repo with Revibe"
  • "What's the architecture of github.com/user/repo?"
  • "Get the agent context for this codebase"

The tools handle auto-detection, polling, and structured output automatically.

CLI Commands

# Node.js
npx revibe-mcp-auth login     # Log in via browser
npx revibe-mcp-auth status    # Show current auth status
npx revibe-mcp-auth logout    # Remove saved credentials

# Python
revibe-mcp-auth login
revibe-mcp-auth status
revibe-mcp-auth logout

Packages

| Registry | Package | Install | |----------|---------|---------| | npm | revibe-mcp | npx revibe-mcp | | PyPI | revibe-mcp | pip install revibe-mcp |

License

MIT