MonadWorks/agentify

OpenAPI in. Agent interfaces out.
Your API has new users it doesn't know about yet — AI agents.
Claude Code reads CLAUDE.md. Cursor reads .cursorrules. Codex and Copilot read AGENTS.md. And if you want your API callable as a tool, you need an MCP server. That's a lot of files to write and keep in sync with your API spec.
Agentify reads your OpenAPI spec and writes them all.
bash
npx agentify-cli transform https://petstore.swagger.io/v2/swagger.json
## What You Get
One command generates up to 9 formats from a single OpenAPI spec:
| Format | Used by |
| MCP Server | Claude, ChatGPT, Copilot (with Dockerfile) |
| CLAUDE.md | Claude Code |
| AGENTS.md | Codex, Copilot, Cursor, Gemini CLI |
| .cursorrules | Cursor IDE |
| Skills | Agent platforms |
| llms.txt | LLM search engines |
| GEMINI.md | Gemini CLI |
| A2A Card | Google Agent-to-Agent protocol |
| CLI | A standalone command-line tool that makes real API calls |
## Quick Start
bash
# Transform any OpenAPI spec (Swagger 2.0 or OpenAPI 3.x)
npx agentify-cli transform https://petstore.swagger.io/v2/swagger.json
# Pick specific formats
npx agentify-cli transform ./my-api.yaml -f mcp claude.md agents.md
# Generate a standalone CLI tool
npx agentify-cli transform ./my-api.yaml -f cli -o my-api-cli
# Custom output directory and project name
npx agentify-cli transform https://api.example.com/openapi.json -o ./output -n my-project
Example output:
Agentify v0.4.1
Agent Interface Compiler
+-- 20 endpoints detected -> SMALL API strategy
+-- 3 domains identified (pet, store, user)
+-- Auth: apiKey (SWAGGERPETSTOREAPIKEY)
+-- Strategy: Direct tool mapping — one tool per endpoint
> Generated mcp + claude.md + agents.md + cursorrules + llms.txt + gemini.md + skills + a2a (15 files)
> Output: ./swagger-petstore-mcp-server
> Security scan: PASSED
## Tested on Real APIs
Agentify handles APIs of any size — from 13-endpoint apps to 1,000+ endpoint platforms.
| API | Endpoints | Domains | TypeScript | Server starts |
| Notion | 13 | 5 | PASS | PASS |
| Petstore (Swagger 2.0) | 20 | 3 | PASS | PASS |
| httpbin (non-compliant spec) | 73 | 11 | PASS | PASS |
| Slack Web API | 174 | 55 | PASS | PASS |
| Stripe | 452 | 1 | PASS | PASS |
| GitHub REST API | 1,093 | 43 | PASS | PASS |
Every generated MCP server compiles with zero TypeScript errors and starts immediately. Non-compliant specs (like httpbin) are auto-normalized with warnings instead of rejected. The GitHub REST API — 1,093 endpoints across 43 domains — produces a working server with 1,093 tools.
## How It Works
OpenAPI Spec (URL or file)
PARSE ──> SANITIZE ──> ANALYZE ──> COMPILE ──> EMIT ──> SCAN ──> OUTPUT
Strip unsafe Detect Build IR Run Security
patterns domains, (typed) emitters scan all
auth, generated
API scale code
Agentify parses your spec into an intermediate representation (AgentifyIR), then runs pluggable emitters to produce each output format. Every generated artifact goes through a security scan before being written to disk.