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"Enforcing Apple Brand Style Guidelines for Team Communication Drafts Without AI Style Learning" matching MCP servers:

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    Enables AI assistants to query and export from the macOS Apple Photos library using natural language, backed by osxphotos.
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    819
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    MIT
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    Enables Claude Desktop to query a PostgreSQL brand database through MCP. Supports local stdio and remote HTTP/SSE deployments with API key authentication for secure database access.
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    Enables access to a PostgreSQL database for brand-related data using Python. It allows users to interact with database records through local configurations or secure remote EC2 deployments.
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    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
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    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
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    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
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    MCP server for AI-powered roadside assistance case management, exposing SQLite-backed tools for querying case counts, statuses, and summaries through natural language via Gemini function calling.
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    Universal database copilot for diagnostics, operations, and performance analysis via MCP and CLI.
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    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.
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    MIT
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    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
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    MIT
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    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.
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    MIT
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    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
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    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.
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    Apache 2.0