agentize

Convert codebases into CLI tools and MCP servers for AI agents.

3|1|Updated Dec 5, 2025

Search Tags:#code transformation #AI integration #MCP server #codebase automation #CLI tooling

Ready to run

npx skills add https://github.com/trungdo9/ClauKit --skill agentize

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agentize
Source: https://github.com/trungdo9/ClauKit/tree/main/skills/software/agentize
Command: npx skills add https://github.com/trungdo9/ClauKit --skill agentize

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires [], and includes scripts (resource) and references (resource) components.

What problem does it solve?

Agentize transforms your existing codebase into a CLI and an MCP server, enabling AI agents to call its functions as tools. It streamlines the process of picking and defining schemas, and handles authentication and side effects.

Core Features & Use Cases

Codebase Exposition: Converts your library or service into a tool accessible by AI agents.
CLI and MCP Server: Creates both human-runnable CLI tools and structured tool surfaces for AI.
Use Case: If you have an internal library and want Claude/Cursor/OpenCode to use its functions, Agentize can facilitate that with a dedicated CLI and MCP server.

Quick Start

Convert a script to MCP using the agentize skill with the command "agentize this script to MCP".

Frequently Asked Questions about agentize

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I expose my codebase to AI agents as an MCP server?▼

To expose your codebase to AI agents as an MCP server, you need to transform its functions into MCP-compliant tools. Agentize automates this codebase transformation, generating a server that defines input schemas and handles authentication for AI integration.

Can I convert an existing internal library into a CLI tool for AI agents?▼

Yes, you can convert an existing internal library into a CLI tool for AI agents. The process transforms your code functionality into a human-runnable CLI format while simultaneously creating a structured MCP tool surface for AI platforms like Claude and Cursor.

What is the best way to integrate codebase automation with Claude or Cursor?▼

The best way to integrate codebase automation with Claude or Cursor is by generating a dedicated MCP server. This approach converts your codebase into structured MCP-compliant tools, streamlining schema definitions and handling side effects for the AI agents.

Does converting a script to an MCP server handle authentication and input schemas?▼

Yes, converting a script to an MCP server handles authentication and input schemas automatically. The transformation process picks and defines the necessary schemas and manages side effects, ensuring the codebase is securely accessible by AI agents.

Why use a dedicated MCP server instead of direct API calls for codebase automation?▼

Using a dedicated MCP server standardizes codebase automation by providing a structured tool surface for AI agents. Unlike direct API calls, it streamlines schema definitions, manages authentication, and outputs a CLI format compatible with MCP protocols.