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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 interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
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    GPL 3.0
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    Exposes SQL Server and Snowflake schema metadata to AI coding agents, enabling schema search, join path discovery, and stored procedure metadata retrieval without live queries.
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    GPL 3.0
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    A SQL Server CLI and MCP server for Claude Code that supports standard SQL Server authentication for database interaction and management. It enables users to perform schema exploration, execute queries, and manage data records with built-in SQL injection prevention.
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    MIT
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    Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.
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    MIT
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    Provides comprehensive SQLite database operations for LLMs with security features, transaction support, and separation of read-only and destructive operations.
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    MIT
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    Enables AI agents to interact with local SQLite databases with full CRUD, schema introspection, foreign key relations, generated columns, and multi-format import/export (CSV, JSON, XLSX) through natural language.
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    MIT
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    Database schema management MCP server for Claude Code, enabling natural language management from business requirements to complete databases.
    MIT
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    A governed MCP server enabling LLM agents to query BigQuery, inspect GCS, trigger Airflow DAGs, and run data-quality checks with built-in security guardrails like allow-lists, cost ceilings, and audit trails.
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    MIT
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    Enables database schema querying and execution plan analysis for Spring Boot projects. Supports multiple databases including MySQL, PostgreSQL, MSSQL, and SQLite.
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    MIT
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    Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.
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    MIT
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    An MCP server that equips AI agents with real-world tools including file operations, read-only MySQL queries, web summarization, safe calculations, and system info. It uses stdio transport and enforces safety guardrails like SELECT-only database access and AST-based math evaluation.
    MIT
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    A portfolio MCP server demonstrating four tools (web search, database query, file reading, directory listing) with read-only SQL, filesystem sandbox, and both stdio and HTTP transports.
    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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    Provides safe, configurable SQL database access via MCP tools, enabling schema introspection, predefined queries, and structured updates with multi-backend support.
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    MIT
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    Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.
    MIT
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    Enables users to interact with PostgreSQL databases through natural language, with GitHub OAuth authentication and role-based access control.
    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