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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 querying and comparing products from MM's retail (B2C) and wholesale (B2B) platforms in Vietnam, including price comparisons, stock availability checks, and multi-store support with Vietnamese language integration.
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    A governed SQL gateway that exposes typed tools to AI agents, compiling safe read-only queries from a semantic layer while blocking PII before execution, supporting SQL Server, Postgres, and SQLite.
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    MIT
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    Enables AI assistants to query the Ubergraph biomedical ontology SPARQL endpoint with tools for custom SPARQL queries, term lookup, search, and hierarchy traversal.
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    MIT
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    A read-only MCP server for SQL Server database introspection that enables Claude to explore and query databases via tools like listing objects and executing SELECT queries.
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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.
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    A Model Context Protocol server that enables Claude to query, monitor, and analyze SQL Server databases, with support for schema exploration, performance analysis, and optional write operations.
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    A Model Context Protocol server for interacting with MSSQL and PostgreSQL databases, offering tools for schema exploration and SQL execution. It features configurable query modes for safety and supports advanced authentication methods like Windows Auth and SSL.
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    MIT
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    NestJS-based MCP server for MySQL with session-level database selection and SQL safety controls. Enables executing SQL queries, listing databases, and connecting MySQL users with configurable safe modes.
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    Enables secure interaction with SQL Server databases through natural language queries in Cursor IDE, with individual user credentials for complete traceability and auditing of all database operations.
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