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"Exploring OpenAPI/Swagger Specifications" matching MCP servers:

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    A server that provides management and connectivity for Alibaba Cloud RDS database services via OpenAPI, enabling users to create, query, and modify RDS instances through MCP integration.
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    Apache 2.0
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    An MCP server that enables AI assistants to securely access Webull trading and market data, supporting multi-region (US/HK), various asset classes, order types, and risk controls.
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    Apache 2.0
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    A Model Context Protocol server that generates and runs mock API servers from API documentation like OpenAPI/Swagger specs, enabling developers and AI assistants to quickly spin up mock backends for development and testing.
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    MIT
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    Enables conversion of OpenAPI specifications into MCP servers and remixing multiple MCP servers into one. Works with stdio and sse transports and integrates with major chat clients.
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    MIT
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    An MCP server for the iNavi Maps API that gives AI assistants iNavi Maps API specifications and ready-to-use HTML templates for interactive map visualizations (geocoding, POI search, route planning).
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    MIT
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    MCP server for mockzilla. Lets coding agents (Claude Desktop, Cursor, etc.) install the mockzilla CLI, stand up API mocks from an OpenAPI spec or a single endpoint, and — with an account — deploy hosted mocks on mockzilla.org.
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    MIT
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    Turn any OpenAPI 3.x spec into a runnable, stateful API environment for AI agents. Test real integration flows — multi-step workflows, persistent state, webhook delivery, retries, and edge cases — instead of guessing from docs or mocking endpoints. Generate committable markdown reports directly from Claude/Cursor. Includes 50+ pre-validated APIs like Stripe, GitHub, Twilio, OpenAI, and more.
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    MIT
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    DexPaprika MCP server allows LLMs to access real-time and historical data on tokens, DEX trading activity, and liquidity across multiple blockchains. It enables natural language queries for exploring market trends, token performance, and DeFi analytics through a standardized interface.
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    Enables AI assistants to interact with SmartBear's suite of testing and monitoring tools including BugSnag, Swagger, Reflect, and more through natural language, allowing querying of testing data, analysis of performance metrics, and management of test automation.
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    CarVector is a Model Context Protocol server that gives AI agents real vehicle data — specifications and representative images, federal recall campaigns, and OBD-II DTC reference — instead of hallucinating them. Open-source client (npx -y carvector-mcp), authenticated with your own key; free tier, no credit card. Four tools: search_vehicles, get_vehicle, get_recalls, lookup_dtc.
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    MIT