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    A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.
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    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data including querying, creating, updating, and deleting entities through SAP BTP integration.
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    MIT
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    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data for querying, creating, updating, and deleting business entities through SAP BTP integration.
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    MIT
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    Exposes any SQLite database as read-only MCP tools for AI assistants, enabling listing tables, describing schemas, and running SELECT queries with filtering, ordering, and pagination.
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    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing OData services as dynamic MCP tools. Enables natural language interactions with ERP data for querying, creating, updating, and deleting business entities.
    Last updated
    37
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    MIT
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    An open-source MCP server that imports HR CSV data into an in-memory SQLite database for structured querying and metadata retrieval. It enables users to perform read-only SQL queries and structured searches on employee data through natural language.
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    MIT
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    Enables natural language querying of Apache Iceberg lakehouse by exposing typed tools for namespace discovery, table metadata inspection, snapshot history, time travel SQL generation, and partition pruning explanation.
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    Apache 2.0
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    Enables secure SQL query execution on MySQL databases with authentication and permission control, allowing users to explore database tables and run read-only queries.
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    Enables Claude Desktop to interact with PostgreSQL databases through natural language for schema exploration, data analysis, and query execution. Users can search schemas, describe tables, and perform read or write operations without needing to write manual SQL.
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    DBeast MCP is a robust, security-first Model Context Protocol server designed to empower AI coding assistants (like Claude Desktop) with deep PostgreSQL database insights. Instead of just running basic SQL queries, DBeast equips your AI agent with tools to inspect active locks, audit slow queries, analyze table schemas, and safely generate index recommendations in real-time. Built specifically for
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    MIT
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    A Model Context Protocol server that provides access to the DBLP computer science bibliography database, allowing AI models to search publications, process citations, and generate accurate BibTeX entries.
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    MIT
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    A Model Context Protocol (MCP) server that exposes tools for exploring and querying SQLite and PostgreSQL databases. It allows Large Language Models (LLMs) to inspect table structures, perform statistical profiling, generate entity-relationship diagrams, and execute queries safely.
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    MIT
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    Integrates simulated health data and task management to provide energy-aware scheduling based on calculated readiness scores. It allows users to query health summaries, manage tasks, and generate optimized daily schedules through a local SQLite database.
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    An open-source MCP server that connects to various data sources (SQL databases, CSV, Parquet files), allowing AI models to execute SQL queries and generate data visualizations for analytics and business intelligence.
    Last updated
    12
    74
    MIT