koriyoshi2041

koriyoshi2041 / agentify

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Agent Interface Compiler — One command. Every agent speaks your product. Transform OpenAPI specs into MCP Servers, Skills, CLAUDE.md, AGENTS.md, and more.

a2a agent agent-native agents-md ai
12
0
100% credibility
Found Mar 08, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Agentify compiles OpenAPI specifications into multiple AI agent interface formats including MCP servers, markdown guides, and structured files for platforms like Claude, Cursor, and Gemini.

How It Works

1
🔍 Discover Agentify

You hear about this helpful tool that turns your service description into easy guides for AI helpers.

2
📄 Gather your service details

You prepare a simple file or web address that explains what your online service can do.

3
✨ Run the transformation

With one quick action, you ask the tool to create all the agent-friendly versions.

4
🔄 Watch it analyze and create

The tool studies your details, picks the smartest approach, and builds a full set of files.

5
🛡️ Safety check complete

It scans everything to ensure it's secure and safe to use.

🎉 AI helpers ready to go

You get a folder of ready-made guides and a starter service that lets AI agents use your product effortlessly.

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Star Growth

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AI-Generated Review

What is agentify?

Agentify is a TypeScript CLI that transforms any OpenAPI spec into eight agent interfaces with one command: MCP servers for Claude and GitHub Copilot, CLAUDE.md, AGENTS.md for Cursor and Gemini CLI, .cursorrules, skills files, llms.txt, and A2A cards. It eliminates manually crafting these formats for AI agents to consume your API, outputting deployable servers with Dockerfiles, typed tools, and security-scanned docs. Run `npx agentify-cli transform your-spec.yaml` and get agent-ready artifacts instantly.

Why is it gaining traction?

Unlike Speakeasy or Stainless, which cover only subsets like MCP or skills, Agentify generates everything from a single spec, including niche formats like .cursorrules for Cursor IDE and llms.txt for LLM search. Developers love the auto-selected strategies for small/medium/large APIs, built-in sanitization against prompt injection, and production-ready MCP servers with Zod validation and stdio transport. It's the quickest way to make APIs agent github claude or copilot compatible without per-tool tweaks.

Who should use this?

Backend devs maintaining OpenAPI specs for agent github repos or actions, especially those integrating with Claude Code, GitHub Copilot in IntelliJ, or Gemini CLI. Ideal for API teams building agent interface portals or skills for platforms like Copilot Reddit discussions highlight, saving hours on multi-format sync.

Verdict

Worth a spin for small APIs (<30 endpoints)—solid CLI, docs, and 80%+ test coverage make it usable now despite 12 stars and 1.0% credibility score. Early v0.3.0 stage means watch for large-API smarts, but MIT license invites contributions.

(198 words)

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