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Methods for querying and analyzing a database MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

17,178 servers. Last updated 2026-02-10 05:11

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"Methods for querying and analyzing a database" matching MCP servers:

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    Provides a natural language interface for querying and managing PostgreSQL, MySQL, MariaDB, MSSQL, and SQLite databases using the Model Context Protocol. Users can explore database schemas and visualize query results through an integrated web dashboard.
    Last updated 20 days ago
    28
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    Provides universal database operations for AI assistants through MCP, supporting 40+ databases including PostgreSQL, MySQL, MongoDB, Redis, and SQLite with built-in introspection tools for schema exploration.
    Last updated 2 months ago
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    MIT
    • Apple
    • Linux
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    Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.
    Last updated 7 months ago
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    Enables AI assistants to interact with PostgreSQL and Supabase databases through natural language. Supports secure database operations including queries, migrations, and schema management with user-provided credentials.
    Last updated 5 months ago
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    A modular MCP server that enables interaction with multiple database types including PostgreSQL, MySQL, SQLite, Redis, MongoDB, and LDAP. It provides tools for executing queries, managing SQL commands, and exploring database schemas with configurable read-only security.
    Last updated 3 months ago
    7

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