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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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    Enables management and querying of multiple MySQL databases through natural language, allowing AI assistants to list databases, execute SQL queries, and explore database schemas.
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    Search 47,000+ marketing agencies and get AI-matched with fitted agencies, from Pick an Agency.
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    MIT
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    Enables querying a MySQL database of metallurgical materials and alloys via natural language, allowing users to list alloy types, filter grades by type, and retrieve full details of a grade with all related data.
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    Enables natural language querying of MySQL databases via Claude Code, allowing SELECT queries, table listing, and schema inspection.
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    MIT
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    MCP server that connects AI agents to MySQL databases for schema exploration, data querying, and SQL execution via natural language.
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    MIT
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    Enables read-only access to MySQL databases through natural language queries. Provides automatic table schema discovery and executes SELECT, SHOW, DESCRIBE, and EXPLAIN statements within secure read-only transactions.
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    MIT
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    Enables Claude Desktop to execute read-only SQL queries on MySQL databases via natural language, with dynamic connection switching and built-in security.
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    MIT
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    An MCP server for MySQL databases that enables schema exploration, query execution, and resource access through a unified interface. It features a LangGraph-based agent that translates natural language into SQL queries with automatic error recovery and schema discovery.
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    A Model Context Protocol server that enables AI models to interact with MySQL databases through natural language, supporting SQL queries, table creation, and schema exploration.
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    Provides MySQL database query capabilities through MCP protocol, enabling AI assistants to retrieve table metadata, execute SQL queries, and manage database interactions via Resources, Prompts, and Tools.
    Last updated