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Agent Interface Compiler — One command. Every agent speaks your product.

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  • agentify-cli

Readme

Agentify

Agent Interface Compiler — One command. Every agent speaks your product.

npm CI MIT License TypeScript


Agentify transforms any OpenAPI specification into a complete suite of agent interfaces. Instead of manually building MCP servers, writing CLAUDE.md files, crafting agent skills, and configuring IDE rules separately, Agentify compiles them all from a single source of truth.

npx agentify-cli transform https://petstore.swagger.io/v2/swagger.json

The Problem

AI agents are the new users of your API. But making your product agent-accessible requires building and maintaining multiple interface formats:

Format Who consumes it Manual effort
MCP Server Claude, ChatGPT, Copilot Days of coding
CLAUDE.md Claude Code Write from scratch
AGENTS.md Codex, Copilot, Cursor, Gemini CLI Write from scratch
.cursorrules Cursor IDE Write from scratch
Skills 30+ agent platforms Per-platform work
llms.txt LLM search engines Manual authoring
A2A Card Google Agent-to-Agent protocol JSON schema work

That's 7+ formats to build, test, and keep in sync. Every API change means updating all of them.

The Solution

Agentify is a compiler. OpenAPI in, every agent format out.

                    +---> MCP Server (with Dockerfile)
                    |
                    +---> CLAUDE.md
                    |
OpenAPI Spec -----> +---> AGENTS.md
                    |
                    +---> .cursorrules
                    |
                    +---> Skills
                    |
                    +---> llms.txt
                    |
                    +---> A2A Card

Quick Start

# Transform any OpenAPI spec
npx agentify-cli transform https://petstore.swagger.io/v2/swagger.json

# Specify output directory
npx agentify-cli transform ./my-api.yaml -o ./output

# Override project name
npx agentify-cli transform https://api.example.com/openapi.json -n my-project

Output:

  Agentify v0.1.0
  Agent Interface Compiler

  +-- 20 endpoints detected -> SMALL API strategy
  +-- 3 domains identified (pet, store, user)
  +-- Auth: apiKey (SWAGGER_PETSTORE_API_KEY)
  +-- Strategy: Direct tool mapping — one tool per endpoint

  > Generated MCP Server (8 files)
  > Output: ./petstore-mcp-server
  > Security scan: PASSED

Features

Smart Strategy Selection — Automatically chooses the right generation strategy based on API size:

API Size Endpoints Strategy Why
Small < 30 Direct mapping One tool per endpoint, simple and complete
Medium 30-100 Tool Search + Lazy Loading Reduces context window usage
Large 100+ Code Execution + Docs Search Avoids the "93 tools = 55K tokens" problem

Security First — Every generated artifact passes through:

  • Input sanitization (blocks eval, exec, Function constructor, require/import injection)
  • Handlebars template injection prevention
  • Prompt injection pattern detection
  • Generated code security scanning

Production Ready — Generated MCP servers include:

  • TypeScript source with full type safety
  • Dockerfile for containerized deployment
  • Environment variable configuration (.env.example)
  • Stdio transport (standard MCP protocol)

Output Format Status

Format Status Description
MCP Server Available Full server with tools, handlers, Dockerfile
CLAUDE.md Planned Project context for Claude Code
AGENTS.md Planned Universal agent instructions
.cursorrules Planned Cursor IDE agent rules
Skills Planned Agent instruction files for 30+ platforms
llms.txt Planned LLM-readable documentation
A2A Card Planned Google Agent-to-Agent discovery

How It Works

1. PARSE        OpenAPI 3.x / Swagger 2.0 spec (URL or file)
                  |
2. SANITIZE     Strip dangerous patterns from all spec fields
                  |
3. ANALYZE      Detect domains, auth, scale -> pick strategy
                  |
4. COMPILE      Generate AgentifyIR (intermediate representation)
                  |
5. EMIT         Run selected emitters (MCP, Skills, Docs, etc.)
                  |
6. SCAN         Security scan all generated code
                  |
7. OUTPUT       Write files to disk

AgentifyIR is the canonical intermediate representation — a flat, typed structure that captures everything an emitter needs: product metadata, capabilities (endpoints), domains, auth config, and generation strategy.

Architecture

agentify/
+-- src/
|   +-- cli.ts              # CLI entry point (Commander.js)
|   +-- parser/             # OpenAPI parsing + input sanitization
|   +-- generator/          # Pluggable emitters for each format
|   |   +-- templates/      # Handlebars templates
|   +-- security/           # Input sanitization + output scanning
|   +-- types.ts            # AgentifyIR type definitions
+-- templates/              # Generated project templates
+-- test/                   # Vitest test suite

Contributing

Agentify welcomes contributions, especially new emitters (output formats). Each emitter implements a simple interface:

import type { Emitter, AgentifyIR, EmitterOptions, EmitterResult } from "../types";

export class MyFormatEmitter implements Emitter {
  readonly name = "my-format";
  readonly format = "my-format";

  async emit(ir: AgentifyIR, options: EmitterOptions): Promise<EmitterResult> {
    // Generate output files from the IR
    return { filesWritten: [...], warnings: [] };
  }
}

See CONTRIBUTING.md for the full guide.

Roadmap

  • M0: Foundation — OpenAPI parser, MCP emitter, security scanner, CLI
  • M1: Multi-Format — Skills, CLAUDE.md, AGENTS.md, .cursorrules, llms.txt, A2A
  • M2: Intelligence — Capability graph, semantic grouping, context optimization
  • M3: Self-Serve — Web UI, one-click deploy, registry integrations
  • M4: Scale — Enterprise features, custom emitters, CI/CD integration

Compared to Alternatives

Feature Agentify Speakeasy Stainless openapi-to-skills
MCP Server Yes Yes No No
Skills Planned CLI only No Yes
CLAUDE.md Planned No No No
AGENTS.md Planned No No No
.cursorrules Planned No No No
llms.txt Planned Yes No No
A2A Card Planned No No No
Context-aware strategy Yes No Yes No
Security scanning Yes Unknown Unknown No
Open source MIT No No MIT

No existing tool compiles one OpenAPI spec into all agent interface formats.

License

MIT -- Agentify Contributors