What HTTP methods does MCPify support?
It supports GET, POST, PUT, PATCH, and DELETE.
@Amanbig
Basic information
Point mcpify at any OpenAPI spec and every endpoint becomes a tool your AI agent (Claude, Cursor, Windsurf) can call — zero glue code, zero per-endpoint wrappers, always in sync with the spec. Supports GET/POST/PUT/PATCH/DELETE, auth headers, and both URL and local file specs.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcpify": {
"command": "mcpify",
"args": [
"https://your-api.com/openapi.json"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
It transforms any REST API that has an OpenAPI specification into a Model Context Protocol (MCP) server. Every endpoint becomes a tool that AI agents like Claude, Cursor, and Windsurf can call directly — no glue code or per-endpoint wrappers needed, and it stays in sync with the specification.
Point mcpify at any OpenAPI specification (via URL or local file) and run a single command. The generated MCP server exposes all endpoints as tools, supporting GET, POST, PUT, PATCH, DELETE, and authentication headers.
It supports GET, POST, PUT, PATCH, and DELETE.
Yes, it supports authentication headers as defined in the OpenAPI spec.
It reads the OpenAPI specification directly, so any changes to the spec are automatically reflected without manual updates.
It is designed for agents that support the Model Context Protocol, including Claude, Cursor, and Windsurf.
It can load the specification from a URL or a local file.
Set up and manage the Eddyter AI rich text editor by talking to your AI agent — for Claude, Cursor, Codex and other MCP tools. A Model Context Protocol server that lets AI tools add Eddyter to a React, Next.js, Vite or R

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

Turn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.

Manage CI/CD pipelines, debug failed builds, and optimize test suites directly from your AI agents - no terminal required. The CircleCI MCP Server is a remote server hosted by CircleCI that connects AI tools and agents

SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.
Comments