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  • F
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    maintenance
    So I tried out this cool tool I saw in a LinkedIn post https://openapitools.com All you need is your API schema (OpenAPI/Swagger), and it automatically generates an MCP schema for you. You can then drop it straight into Claude Desktop (or Cursor, LangChain, etc.) and instantly start chatting with
    1
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    A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.
    MIT
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    Enables AI assistants to interact with the Post For Me API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.
    703
    1
    Apache 2.0
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    MCP server for Akamai APIs. 198 tools covering Property Manager, Edge DNS, CPS, WAF, and reporting. Built with TypeScript, featuring modular architecture, comprehensive testing, and multi-account support. Make Akamai accessible to AI assistants.
    1
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    10
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    An MCP server for interacting with Treasure Data API, allowing users to retrieve database information and check server status through natural language queries.
    23
  • A
    license
    A
    quality
    C
    maintenance
    A Model Context Protocol server that provides Claude Code with seamless access to Binance exchange API functionality for market data retrieval, account management, and trading operations.
    10
    84
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    MIT
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    An MCP server that connects to a Swagger specification and helps an AI to build all the required models to generate a MCP server for that service.
    5
    176
    163
    MIT
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    A service that dynamically generates MCP tools from Swagger/OpenAPI documentation, allowing Claude Desktop to directly invoke REST APIs through natural language.
    5
    15
    MIT
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    A Model Context Protocol server that interfaces with Alpaca trading API, allowing users to manage portfolios, place trades, and access market data through natural language interactions.
    8
    36
    MIT