Agentify
Agent Interface Compiler — One command. Every agent speaks your product. Transform OpenAPI specs into MCP Servers, Skills, CLAUDE.md, AGENTS.md, and more.
What is Agentify?
Agentify is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to agent interface compiler — one command. every agent speaks your product. transform openapi specs into mcp servers, skills, claude.md, agents.md, and more.
Agent Interface Compiler — One command. Every agent speaks your product. Transform OpenAPI specs into MCP Servers, Skills, CLAUDE.md, AGENTS.md, and more.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Agent Interface Compiler — One command. Every agent speaks y
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx agentifyConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Agentify
Agentify is an Agent Interface Compiler that transforms OpenAPI 2.0 and 3.x specifications into up to nine agent-ready output formats in a single command — including MCP servers (with Dockerfile), CLAUDE.md, AGENTS.md, .cursorrules, llms.txt, GEMINI.md, A2A Cards, Skills, and a standalone CLI. It auto-detects authentication schemes, domain groupings, and API scale from the spec, so every major AI coding assistant can immediately understand and call your API without manual integration work. API teams and developers use it to make their services instantly accessible to Claude, ChatGPT, Copilot, Cursor, and Gemini without writing boilerplate.
Prerequisites
- Node.js 18 or later installed
- npx available on your PATH
- An OpenAPI 2.0 (Swagger) or OpenAPI 3.x specification file (YAML or JSON), or a public spec URL
- An MCP-compatible client to use the generated MCP server
Run Agentify on your OpenAPI spec
Use npx to run agentify-cli directly without installing it globally. Pass your spec file path or URL as the argument.
npx agentify-cli transform ./my-api.yamlGenerate only specific output formats
Use the -f flag to select which output formats to generate. This is useful when you only need an MCP server and CLAUDE.md, for example.
npx agentify-cli transform ./my-api.yaml -f mcp claude.md agents.mdSpecify an output directory and project name
Use -o to set the output directory and -n to name the project. By default output goes to the current directory.
npx agentify-cli transform ./my-api.yaml -o ./agent-output -n my-projectTransform a public Swagger spec
Agentify can fetch and process public OpenAPI specs directly from a URL.
npx agentify-cli transform https://petstore.swagger.io/v2/swagger.jsonUse the generated MCP server
After generation, the output directory contains an MCP server with a Dockerfile. Configure your MCP client to run it, or build the Docker image for deployment.
{
"mcpServers": {
"my-api": {
"command": "node",
"args": ["./agent-output/mcp/server.js"]
}
}
}Agentify Examples
Client configuration
Run agentify-cli to generate an MCP server from your API spec, then connect Claude Desktop to it.
{
"mcpServers": {
"my-generated-api": {
"command": "node",
"args": ["./agent-output/mcp/server.js"]
}
}
}Prompts to try
Example prompts after connecting the generated MCP server to an AI assistant.
- "Generate an MCP server and CLAUDE.md from my OpenAPI spec at ./api/openapi.yaml"
- "Transform the Petstore API spec into all supported agent formats"
- "Create an AGENTS.md and .cursorrules file from my Swagger spec so Cursor and Copilot can use my API"
- "Build a standalone CLI from my OpenAPI spec so I can call the API from the terminal"Troubleshooting Agentify
Spec parsing fails with 'invalid OpenAPI specification' error
Validate your spec first using a tool like 'npx @redocly/cli lint ./my-api.yaml'. Agentify supports OpenAPI 2.0 and 3.x — ensure your file uses one of these versions and is syntactically valid YAML or JSON.
Generated MCP server does not include all API endpoints
Agentify groups endpoints by domain and may filter or aggregate operations for large specs. Check the generation summary output for warnings about skipped endpoints, and consider splitting very large specs by domain.
Authentication not configured in the generated output
Agentify auto-detects auth from the spec's securitySchemes. If your spec defines API key auth, the generated server will reference it (e.g. as an env var). Ensure your OpenAPI spec explicitly declares the security scheme at the root level and references it on the relevant operations.
Frequently Asked Questions about Agentify
What is Agentify?
Agentify is a Model Context Protocol (MCP) server that agent interface compiler — one command. every agent speaks your product. transform openapi specs into mcp servers, skills, claude.md, agents.md, and more. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Agentify?
Follow the installation instructions on the Agentify GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Agentify?
Agentify works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Agentify free to use?
Yes, Agentify is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
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