What HTTP methods does MCPify support?
It supports GET, POST, PUT, PATCH, and DELETE.
@Amanbig
基本情報
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.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcpify": {
"command": "mcpify",
"args": [
"https://your-api.com/openapi.json"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation
Gives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.

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

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP
コメント