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  • A
    license
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    quality
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    Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.
    Last updated
    8
    10
    Apache 2.0
  • A
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    quality
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    AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client.
    Last updated
    MIT
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    quality
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    ktx is an MCP server that provides agents with accurate warehouse querying by serving a self-improving context layer of approved metrics, joinable columns, and business knowledge through CLI and MCP tools.
    Last updated
    1,511
    Apache 2.0
  • F
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    quality
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    maintenance
    Security-focused MCP adapter that combines read-only DataHub metadata with a reviewed OKF-derived policy IR to execute closed, typed SQL queries against synthetic PostgreSQL data.
    Last updated
  • F
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    quality
    D
    maintenance
    Provides comprehensive psychological intelligence capabilities including persona analysis, attachment theory assessment, relationship compatibility evaluation, and autonomous workflow strategies through a complete graph database integration.
    Last updated
  • F
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    quality
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    A knowledge graph MCP server that integrates Graphiti and the ACE framework for conversational management of Neo4j-based entities and relationships. It enables AI agents to perform semantic searches, manage data isolation, and utilize automatic learning strategies.
    Last updated
    2
  • F
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    An MCP server that provides access to a SQLite database for analyzing trading strategy backtest results and performance metrics. It enables AI assistants to identify robust strategies across different market regimes and compare them against benchmarks using risk-adjusted metrics.
    Last updated
    1