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"How to fetch and query data using a MySQL cursor" matching MCP servers:

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    A read-only MySQL query service that allows SELECT operations, listing tables, and viewing schemas via MCP protocol.
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    Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.
    3
    MIT
  • A
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    quality
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    A Model Context Protocol server that provides read-only MySQL database queries for AI assistants, allowing them to execute queries, explore database structures, and investigate data directly from AI-powered tools.
    3
    41
    13
    MIT
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    A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.
    MIT
  • A
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    MCP server that fetches remote or local HTML resources and converts them to Markdown, enabling AI clients to summarize or process web content.
    94
    MIT
  • F
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    MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.
    5
  • A
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    quality
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    An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.
    5
    1
    Apache 2.0
  • F
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    MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.
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    Enables AI agents to read and optionally write to PostgreSQL databases through a multi-project setup with schema inspection, query execution, and performance analysis tools.
    5
  • A
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    MCP server for querying and analyzing TensorBoard event files, enabling AI agents to extract scalar data, statistics, and correlations without a running TensorBoard server.
    6
    11
    GPL 3.0
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    An MCP server for Dart AI task management that enables bulk operations using DartQL selectors to minimize token usage and context rot. It provides tools for batch updates, task and document CRUD, and safe CSV imports with integrated dry-run capabilities.
    25
    41
    MIT
  • A
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    Fetches web pages and converts them to markdown for LLM consumption, supporting chunked reading and raw content extraction.
    MIT