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  • Google Ads MCP Server

    martechery
    A
    license
    B
    quality
    D
    maintenance
    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.
    9
    MIT

  • API Testing MCP

    cocaxcode
    A
    license
    A
    quality
    D
    maintenance
    A lightweight, local-first MCP server for executing HTTP requests and managing API collections and environments without cloud dependencies. It enables testing APIs, handling authentication, and importing OpenAPI specifications directly within MCP-compatible workflows.
    42
    202
    4
    MIT

  • Multi-MCPs

    TaylorChen
    A
    license
    C
    quality
    D
    maintenance
    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

  • ClawQL

    danielsmithdevelopment
    A
    license
    -
    quality
    B
    maintenance
    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.
    186
    12
    Apache 2.0

  • MCP Test Scratch Server

    AbhishantMOE
    -
    license
    -
    quality
    -
    maintenance
    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.

  • Test MCP Feb 5 MCP Server

    Traia-IO
    F
    license
    -
    quality
    D
    maintenance
    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.