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"Developing an application by analyzing specified development and API documentation" matching MCP servers:

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    A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.
    8
    MIT
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    Search and retrieve Agent2Agent (A2A) protocol documentation using full-text search and section filtering.
    2
    MIT
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    An MCP server that enables users to search for recipes and cooking instructions via the API Ninjas Recipe API. It supports querying specific dishes and provides paginated results for recipe discovery.
    1
    MIT
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    Enables querying current date and time information by city/state/country, geographic coordinates (latitude/longitude), or timezone using the API Ninjas World Time API.
    1
    MIT
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    Enables access to the API Ninjas Riddles API to retrieve random riddles. Users can request between 1-20 riddles at a time through a simple interface.
    1
    MIT
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    An MCP server that enables users to retrieve trivia questions and answers across various categories through the API-Ninjas Trivia API. It supports customizable result limits and filtering by categories like science, history, and entertainment.
    1
    MIT
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    Provides access to the Nutrition By Api Ninjas API to extract detailed nutritional information from natural language food queries. It enables users to retrieve data such as calories, vitamins, and macros from text descriptions of meals.
    1
    MIT
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    Provides access to government development, geography and land information data through a FastMCP interface, including data on new building plans processed by the Building Authority.
    1
    MIT
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    An MCP server that connects AI assistants to YNAB budgets, enabling natural language queries about finances backed by full API coverage and built-in YNAB methodology knowledge.
    1
    MIT
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    Enables AI assistants to fetch, index, and perform semantic RAG-based searches on API documentation from various sources. It provides tools for hybrid search and collection management, allowing users to access up-to-date documentation from projects like Gemini and FastMCP.