Analyze Codebase for MCP

Scan a codebase to discover functions, REST endpoints, CLI commands, and data access patterns that are good candidates for MCP tool exposure, then produce a structured tool specification document.

When to Use

• Planning an MCP server for an existing project and need to know what to expose
• Auditing a codebase before wrapping it as an AI-accessible tool surface
• Comparing what a codebase can do versus what is already exposed via MCP
• Generating a tool specification document to hand off to scaffold-mcp-server
• Evaluating whether a third-party library is worth wrapping as MCP tools

Inputs

• Required: Path to the codebase root directory
• Required: Target language(s) of the codebase (e.g., TypeScript, Python, R, Go)
• Optional: Existing MCP server code to compare against (gap analysis)
• Optional: Domain focus (e.g., "data analysis", "file operations", "API integration")
• Optional: Maximum number of tools to recommend (default: 20)