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mcpify-cli

v1.0.4

Published

Compile application code into a runnable Model Context Protocol (MCP) server — and auto-register it with Codex, Claude, and VS Code.

Readme

MCPify

Compile application code into a runnable Model Context Protocol server — and auto-register it with your AI clients.

MCPify scans the parts of an app that matter to agents (backend routes & services, frontend actions, OpenAPI specs, Prisma/Drizzle/Mongoose models, webhooks and event listeners), infers multi-step workflows, classifies every action by permission, and generates a complete MCP server. It then writes the server into your local AI clients so the tools show up in the chat bar — no manual config.

Install

npm install -g mcpify-cli
# or run without installing
npx mcpify-cli analyze ./my-app

Quick start

mcpify analyze ./my-app
cd ./my-app/.mcpify && npm install

Restart your AI client — the generated tools appear automatically.

What you get

Running analyze creates an output directory (./.mcpify by default) containing a runnable MCP server: server.ts, handlers.ts, tools.ts, workflows.ts, schemas.ts, AGENTS.md, plus standalone package.json/tsconfig.json.

Every tool is classified as SAFE (agent may call autonomously), REQUIRES_CONFIRMATION (agent must ask first), or BLOCKED (never exposed).

Auto-registration

By default MCPify registers the server into the AI clients it can find:

| Client | Config file | |---|---| | Codex | ~/.codex/config.toml | | Claude Code | <project>/.mcp.json | | Claude Desktop | platform config dir | | VS Code | <project>/.vscode/mcp.json |

Existing servers in those files are preserved. Opt out with --no-install, or choose targets with --clients codex,claude-code.

Commands

| Command | Description | |---|---| | analyze [path] | Full pipeline → generate + register the MCP server | | interactive | Guided setup: pick analyzers and tools | | frontend [path] | Extract only UI actions (--json for raw output) | | swagger <file> | Convert an OpenAPI/Swagger spec to MCP tools | | audit [path] | Static safety audit, no files written | | simulate [path] | Static audit + (with ANTHROPIC_API_KEY) an AI security battery |

Useful analyze flags

  • --output <dir> — output directory (default ./.mcpify)
  • --swagger <file> / --prisma <file> / --drizzle <path> / --mongoose <path>
  • --no-frontend / --no-events / --no-workflows
  • --ai-enhance — improve tool descriptions via Claude (needs ANTHROPIC_API_KEY)
  • --no-install / --clients <list> — control client registration
  • --watch — regenerate on source changes

License

MIT — see the repository.