project-advisors-mcp

project-advisors-mcp

MCP server providing diagnostic tools to analyze software architecture, security, REST API compliance, and dependencies for multiple programming languages. Enables AI agents to run scans and audits on codebases.

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Project Advisors MCP Server

An MCP (Model Context Protocol) server providing diagnostic tools to analyze software architecture, security, REST API compliance, and dependencies.

Supports: Python, Rust, Go, Node.js, Java, Swift (iOS), and Kotlin (Android).

Inspiration: The design and concept of these diagnostic advisors were heavily inspired by the BootUI platform.

Setup

npm install
npm run build

Running the Server

The server runs via stdio:

npm start

Available Tools

  • run_architecture_scan
  • run_rest_api_scan
  • run_security_scan
  • run_vulnerability_scan
  • run_pentest_scan
  • get_telemetry_stream
  • run_mcp_design_scan

Using the Agent Skill

This project includes a custom AI Agent Skill located at .agents/skills/project-advisor/SKILL.md. Agents like Antigravity will automatically use it when you ask them to "audit codebase" or "give project health score".

How to use this MCP Server

To use this library with your AI Coding Assistant, you need to configure the assistant to spawn this server via its stdio transport mechanism.

1. Claude Desktop Configuration

Add the following to your Claude Desktop config file (e.g. ~/Library/Application Support/Claude/claude_desktop_config.json on Mac):

{
  "mcpServers": {
    "project-advisors": {
      "command": "node",
      "args": ["/Users/ragu/Code/project-advisors/dist/index.js"]
    }
  }
}

Note: Make sure to run npm run build first so the dist/index.js file exists, and update the absolute path to point to your repository.

2. Cursor IDE Configuration

  1. Open Cursor Settings -> Features -> MCP.
  2. Click + Add new MCP server.
  3. Set the Name to project-advisors.
  4. Set the Type to command.
  5. Set the Command to node /absolute/path/to/project-advisors/dist/index.js.
  6. Click Save.

3. Example AI Prompts

Once connected, you can ask your AI Agent to run audits on your current workspace:

  • "Run an architecture scan on this project and tell me if there are any boundary violations."
  • "Check my REST APIs for compliance and security issues."
  • "Give me an overall health score for this project using the project advisor tools."

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