Explore 'openapi' MCP Resources

AppDog generates MCP servers from OpenAPI specifications, streamlining API development and deployment.

A command-line interface for interacting with MCP servers via stdio and HTTP transport, simplifying server communication.

Provides token-efficient MCP resource access to explore OpenAPI and Swagger specs interactively.

Transforms OpenAPI services into MCP servers for seamless AI agent integration and tool access.

Automatically converts OpenAPI specs into Model Context Protocol (MCP) server instances for seamless integration.

Converts OpenAPI specifications into MCP tools for seamless AI assistant API interactions.

A secure MCP-to-OpenAPI proxy server that exposes MCP tools as standard RESTful APIs instantly.

A Python package for generating typed API clients and MCP servers from OpenAPI specifications.

Provides reference implementations for OpenAPI servers, enabling easy integration of tools into AI workflows.

A CLI tool to generate, configure, and manage type-safe MCP servers from OpenAPI specifications.

Enables Claude to discover and call any API endpoint using semantic search over large OpenAPI specifications.

A server for managing Volcengine MCP integration, enabling API management, request routing, and service management.

A multi-module project integrating Spring AI with ResOs API for restaurant reservations and chatbot interactions.

A server that loads, dereferences, and exposes multiple OpenAPI specs for LLM-driven IDE integrations.

A TypeScript-based client connecting to MCP servers, enabling AI interaction with DeepSeek or OpenAI models.