openapi
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- 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.
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