OpenAPI MCP Server

@FusionWorks

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

FusionWorks

提交者

Genadii Ganebnyi

关于 OpenAPI MCP Server

暂无概览

#openapi #mcp #server

OpenAPI MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "openapi-server": {
      "command": "node",
      "args": [
        "/path/to/your/openapi-mcp-server/dist/index.js",
        "--schema",
        "/path/to/your/openapi-schema.yaml"
      ]
    }
  }
}

OpenAPI MCP Server 工具

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。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is OpenAPI Mcp Server?

OpenAPI Mcp Server exposes any REST API as an MCP (Model Context Protocol) server based on its OpenAPI schema. It automatically generates MCP tools from OpenAPI operations with comprehensive support for OpenAPI 3.0+ schemas in JSON and YAML formats.

How to use OpenAPI Mcp Server?

Install and build the project with npm install && npm build. Run it using npm start -- --schema <path-to-schema> [options]. You can also add the server to Claude Desktop by editing its configuration file and providing the full path to the built index.js and your schema file.

Key features of OpenAPI Mcp Server

Complete OpenAPI 3.0+ support with JSON and YAML parsing
Advanced schema processing: $ref resolution and composition (oneOf/anyOf/allOf)
Automatic MCP tool generation with rich descriptions and validation
Multiple content types: JSON, XML, form data, multipart uploads
Authentication via HTTP Basic Auth or custom headers
TypeScript implementation with 90%+ test coverage

Use cases of OpenAPI Mcp Server

Instantly turn any REST API into MCP tools for AI assistants
Securely integrate authenticated APIs with Claude Desktop
Quickly expose OpenAPI-defined microservices to AI agents
Combine multiple REST APIs under a unified MCP server configuration

常见问题

What OpenAPI versions does it support?

It supports OpenAPI 3.0+ schemas in JSON and YAML formats.

How do I add authentication?

You can use HTTP Basic Authentication via `--username` and `--password` options, or add custom headers (e.g., Bearer tokens) using the `--headers` option. Both can be combined.

What are the runtime requirements?

It requires Node.js and npm. You need to install dependencies and build the project before running.

Where does the data live?

The server does not store data locally; it fetches data from the configured REST API endpoints and returns responses directly.

What transport and authentication methods are supported?

The server uses the standard MCP stdio transport. Authentication supports HTTP Basic Auth and arbitrary custom headers passed via command line.

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