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    Enables interaction with Google Ads through the Google Ads API using GCloud authentication. Supports GAQL query execution, performance data retrieval, account management, and resource discovery with pagination and multiple output formats.
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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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    Provides comprehensive documentation for 377 Fortnox API endpoints and 81 resource categories directly from the official OpenAPI specification. It enables users to search, browse, and explore technical endpoint details and data schemas within AI assistants without requiring authentication.
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    MIT
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    CLIRank - API discovery for AI agents. APIs scored on CLI relevance: auth method, JSON responses, headless operation, pricing transparency. Search by capability, compare alternatives, read agent-contributed docs. 6 MCP tools for discovery, comparison, and documentation. Agents contribute observations back - crowdsourced API docs by machines, for machines.
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    MIT
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    Aggregates multiple third-party APIs into unified MCP tools, providing out-of-the-box access to 10 popular services including OpenWeather, Google Maps, GitHub, Notion, Spotify, and more. Enables users to interact with weather data, search places, manage repositories, create content, and access various web services through a single MCP server.
    34
    MIT
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    An MCP server for API discovery and execution with a token-efficient search -> execute workflow over OpenAPI, Google Discovery, and optional native GraphQL and gRPC sources.
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    Apache 2.0
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    A Model Context Protocol server that fetches detailed API documentation from a local platform using a document ID. It enables language models to retrieve specific endpoint specifications to assist with tasks like code generation and API integration.
    123
    ISC
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    A Flask-based MCP server designed for testing deployment on Google App Engine. Provides a deeplink checking endpoint that accepts flattened JSON parameters and forwards them as nested objects to external APIs.
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    An MCP server that provides access to the Test MCP Feb 5 API, enabling AI agents to interact with its endpoints through standardized tools. It supports seamless AI integration via the Model Context Protocol and is designed for easy deployment using Docker or Google Cloud Run.