@cnoe-io
基本信息
OpenAPI to MCP Server Code Generator
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"openapi-mcp-codegen": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/cnoe-io/openapi-mcp-codegen.git",
"openapi_mcp_codegen",
"\\"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
This tool generates Model Context Protocol (MCP) servers from OpenAPI specifications, producing Python packages that AI assistants can use to interact with APIs. It parses paths, operations, and schemas from OpenAPI specs (JSON or YAML) and renders Jinja2 templates into a structured MCP server with tools, models, and client code.
Run uvx --from git+https://github.com/cnoe-io/openapi-mcp-codegen.git openapi_mcp_codegen --spec-file <path> --output-dir <path> with optional flags such as --generate-agent, --generate-eval, or --enable-slim. For enhanced documentation, use python -m openapi_mcp_codegen.enhance_and_generate.
A Python package with FastMCP-based server, tool functions for each API operation (async, type-hinted), an API client module, configuration files (pyproject.toml, .env.example), and optional agent/evaluation components.
Python 3.8+, `uv` package manager, and the Python packages `mcp>=1.9.0`, `httpx`, `Jinja2`, and `Ruff`. The generated server runs in STDIO mode by default.
The README does not specify version limits; it processes OpenAPI specs in JSON or YAML format. The generator uses standard path, operation, and schema parsing.
By default the MCP server communicates over STDIO using the Model Context Protocol. When combined with `--generate-agent`, an A2A server is also produced for HTTP-based agent communication. SLIM transport is available experimentally.
Yes, use the `--dry-run` flag to preview generation output without creating files.
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