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    Enables AI assistants to automatically manage Apifox API documentation by importing OpenAPI/Swagger specifications and exporting existing API structures. Supports batch operations, intelligent deprecation marking, and smart scope detection for partial module imports.
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    This server automatically validates consistency between AI-generated frontend and backend code by enforcing OpenAPI 3.0 specifications. It injects smart constraints into AI prompts to ensure that generated data structures and API calls remain synchronized across the entire stack.
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    Turn any GraphQL API into MCP tools. Zero config, zero code. Auto-introspection, flat InputObject schemas for better LLM accuracy, smart truncation, retry logic with exponential backoff.
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    MIT
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    Enables AI assistants to access Oura Ring health data including sleep, readiness, activity, heart rate, and workouts through OAuth2-authenticated API calls with automatic token refresh and smart caching.
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    MIT
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    A lightweight MCP server that enables LLMs to interact with any REST API via HTTP requests, with smart response truncation, TypeScript type generation, and field extraction.
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    MIT
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    Turn any OpenAPI/Swagger spec into MCP tools. Zero config, zero code. Supports Swagger 2.0, OpenAPI 3.x, Bearer/API-key/OAuth2 auth, flat parameter schemas for better LLM accuracy, and smart response truncation.
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    MIT