Convert OpenAPI specs into nine standard AI agent interfaces to integrate your API with various agent frameworks efficiently.
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.
agentify runs as a desktop application with a command line interface, so your computer should support running Windows applications without administrative restrictions.
You can get the latest version of agentify from the official release page.
Steps:
.exe. Follow these steps to install and run agentify.
.exe file you downloaded, usually in your "Downloads" folder. The installer will place all necessary files on your PC.
cmd, and press Enter to open the Command Prompt window. agentify works by running commands in Command Prompt.
agentify --versionagentify compile your-api-spec.yamlReplace your-api-spec.yaml with the path to your OpenAPI file.
Agentify creates several important files and servers:
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]agentify serveagentify helpReplace [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
...skills directory to manage agent actions.Check the release page regularly to download new versions. Updates may include:
Download the new installer and run it again to update.
.md files to understand how your agent is set up. agentify command is not recognized, ensure the installation folder is in your system’s PATH or run it from the install directory. If you encounter errors, text from error messages can help diagnose the problem.
Explore topics related to agentify like:
These can help you get more from the files and servers generated by agentify.
harindukavishka/agentify
August 14, 2025
April 13, 2026
TypeScript