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    Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.
    5
    24
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    Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.
    28
    MIT
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    A stdio MCP server that audits other MCP servers over the live protocol. It connects to any MCP target (stdio or HTTP), lints every tool's schema for agent-usability, then actually calls the tools with deliberately broken inputs to see how the server handles them, and returns a 0–100 conformance score with a per-dimension breakdown rendered as Markdown.
    6
    6
    MIT
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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
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    Enables AI assistants to manage Xano databases through the Model Context Protocol, allowing users to create, modify, and delete tables, edit schemas, and extract API documentation.
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    Mercado Pago's Official MCP Server offers tools so that developers can easily interact with our API using natural language, which simplifies tasks and product integration. Remotely hosted by Mercadolibre supporting Streamable HTTP Transport. Details on how to connect: https://mcp.mercadopago.com/
    1
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    Apache 2.0
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    An MCP image generation server based on the Flux Schnell model that provides API access for generating images from text prompts with customizable dimensions and seeds.
    1
    1
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    An MCP server that integrates Apifox API documentation with AI assistants, allowing AI to extract and understand API information from Apifox projects.
    2
    27
    ISC
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    MCP server that fetches API responses and generates ready-to-use model/POJO classes in your configured language, with built-in login/refresh token handling.
    3
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    Turn any GraphQL API into MCP tools. Zero config, zero code. Auto-introspection, flat InputObject schemas for better LLM accuracy, smart truncation, retry logic with exponential backoff.
    69
    MIT