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"A server for exploring and analyzing large OpenAPI schemas efficiently" matching MCP servers:

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    A generic MCP server that dynamically exposes any OpenAPI-documented REST API to LLMs by auto-discovering endpoints. It provides tools for exploring API capabilities and making authenticated requests directly through natural language interfaces.
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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
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    Transforms OpenAPI 3.x specifications into MCP tools, enabling Large Language Models to interact with REST APIs through standardized MCP protocol. Supports bearer token authentication and all HTTP methods for seamless API integration.
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    Turn any OpenAPI spec into MCP tools for Claude — instantly. Point mcp-openapi at any OpenAPI 3.x spec and Claude can call every endpoint through natural language. No custom integration code. No manual tool definitions. One line of config.
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    MIT
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    Discovers, inspects, and executes requests against OpenAPI or Swagger APIs directly from documentation URLs or specification files. It enables users to trace parameter usage across an API and perform authenticated HTTP requests through a structured toolset.
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    MIT
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    Enables Claude Desktop and other MCP clients to interact with any OAuth2-authenticated OpenAPI-based API through automatic tool generation from OpenAPI specifications, with built-in token management and authentication handling.
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    MIT
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    A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.
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    MIT
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    Enables MCP clients to interact with any OpenAPI-defined REST API through a serverless AWS Lambda deployment. Supports multiple authentication methods and provides cost-effective, scalable access to third-party APIs through natural language.
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    An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.
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    Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
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    9
    Apache 2.0
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    Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).
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    MIT
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    Helps users decide what to eat by randomly selecting meals from a database of 100+ options or a custom list using an interactive spinning wheel widget. It supports cuisine filtering and provides an engaging visual interface to resolve mealtime indecision.
    Last updated