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by zaizaizhao • APIs & Integration
Converts OpenAPI/Swagger specifications into Model Context Protocol (MCP) tools so AI agents can call REST APIs with minimal configuration.
Automatically expose a REST API described by an OpenAPI/Swagger spec as an MCP tool without writing custom adapters.
Secure, authenticated access to protected APIs via Bearer Token auth while presenting a standardized MCP interface.
Flexible transport options (stdio, SSE, streamable) to integrate API calls into different assistant runtimes or desktop clients.
MCP Swagger Server (mcp-swagger-server) is a CLI tool and server that transforms OpenAPI/Swagger specs into MCP-format tools, enabling AI assistants to invoke REST API operations. It supports multiple transport protocols (stdio, SSE, streamable), Bearer Token authentication, and operation filtering to control which endpoints are exposed. The project provides a parser, core MCP server, optional web UI, and backend packages, and is designed for easy integration with AI assistants (examples provided for Claude Desktop). It requires Node.js and can be installed globally via npm.
Add a new pet to the store.
Update an existing pet by Id.
Multiple status values can be provided with comma separated strings.
Multiple tags can be provided with comma separated strings. Use tag1, tag2, tag3 for testing.
Returns a single pet.
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