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"A guide for improving AI prompt output quality" matching MCP servers:

  • data-quality-loop

    auron-lmh
    A
    license
    -
    quality
    B
    maintenance
    Enables autonomous data quality inspection and repair workflows. It scans DuckDB warehouses for anomalies, generates and verifies fixes in a dry-run copy, then applies them after validation, with full audit logging.
    MIT

  • Prompt Store MCP

    mhoshdev
    A
    license
    -
    quality
    D
    maintenance
    A local-only MCP server that uses SQLite to store, search, and manage a personal library of AI prompts. It enables developers to organize and reuse prompts across multiple AI clients like Claude and Cursor while keeping all data on their local machine.
    14
    1
    MIT

  • Vantex-Security-A

    farahkhaterr
    F
    license
    -
    quality
    B
    maintenance
    This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

  • just-a-mysql-mcp

    xingyuli
    A
    license
    A
    quality
    C
    maintenance
    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

  • mcp-for-metabase

    DominikPollok
    A
    license
    -
    quality
    C
    maintenance
    A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.
    GPL 3.0

  • mcp-for-redash

    Ashuqwe
    A
    license
    -
    quality
    D
    maintenance
    MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.
    MIT

  • AI-DBA

    steveramos21
    F
    license
    -
    quality
    B
    maintenance
    Universal database copilot for diagnostics, operations, and performance analysis via MCP and CLI.

  • Omics AI MCP Server

    mfiume
    A
    license
    A
    quality
    D
    maintenance
    Enables AI agents to conversationally interact with genomics research networks for data analysis and discovery across multiple Omics AI Explorer platforms. It provides tools for exploring data collections, examining table schemas, and executing SQL queries against datasets like Viral AI and Neuroscience AI.
    6
    1
    MIT

  • Database Tools for Claude AI

    elber-code
    A
    license
    B
    quality
    D
    maintenance
    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
    1
    3
    4
    MIT

  • NeoCoder Neo4j AI Workflow

    angrysky56
    A
    license
    C
    quality
    D
    maintenance
    Enables AI assistants to use Neo4j knowledge graphs and Qdrant vector databases for hybrid reasoning, combining structured facts with semantic search for advanced knowledge management, research analysis, and standardized coding workflows.
    30
    20
    MIT

  • Django AI Boost

    vintasoftware
    A
    license
    -
    quality
    B
    maintenance
    A Model Context Protocol (MCP) server for developing Django applications. It exposes Django project information through MCP tools, enabling AI assistants to better understand and interact with Django codebases.
    109
    MIT

  • AI Business MCP Server

    sohaggain
    A
    license
    -
    quality
    C
    maintenance
    A production-style MCP server exposing six business tools (web search, database, CRM, email, calendar, analytics) to AI clients via a secure, authenticated interface, with mock mode and a reference agent client.
    MIT

  • Metabase AI Assistant

    enessari
    A
    license
    -
    quality
    D
    maintenance
    Enables AI-powered interaction with Metabase instances and PostgreSQL databases through natural language. Creates models, SQL queries, metrics, and dashboards using both Metabase API and direct database connections.
    29
    47
    Apache 2.0