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⇱ A server for automatically scanning and loading database table structures into AI agent context | Glama


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A server for automatically scanning and loading database table structures into AI agent context

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  • Why this server?

    Provides real-time database schema information to AI assistants, directly supporting scanning table structures and automatic context upload.

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    A Model Context Protocol server that provides real-time database schema information to AI assistants, supporting both low-code system schema queries and traditional database metadata queries.
    Last updated
    4
    MIT
  • Why this server?

    Indexes and searches across databases/CSVs to discover table schemas and column metadata, enabling AI agents to explore structural context via MCP.

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    Enables AI agents to index and search across SQLite databases and CSV files to discover table schemas and column metadata. It provides a unified MCP API for data source management and structural exploration through natural language.
    Last updated
  • Why this server?

    Offers schema introspection for SQL Server, allowing AI agents to scan table structures and automatically provide context.

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    A Model Context Protocol (MCP) server that enables AI agents to interact with Microsoft SQL Server databases through secure, intelligent database operations. This server provides comprehensive CRUD capabilities, schema introspection, stored procedure execution, transaction management, and bulk opera
    Last updated
    540
    25
    MIT
  • Why this server?

    Optimized for LLMs, supports multiple databases with schema discovery, enabling automatic scanning and context upload for AI agents.

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    MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB
    Last updated
    530
    Apache 2.0
  • Why this server?

    Allows LLMs to inspect database schemas with rich metadata, facilitating automatic structure scanning and context provision.

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    An enhanced Model Context Protocol server that enables LLMs to inspect database schemas with rich metadata and execute read-only SQL queries with safety checks.
    Last updated
    258
    25
    MIT
  • Why this server?

    Features automatic schema discovery and read-only SQL execution, enabling AI agents to scan tables and upload context automatically.

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    Enables AI agents to query databases via natural language using the Model Context Protocol, with automatic schema discovery, SQL query execution, and read-only safety checks.
    Last updated
  • Why this server?

    Stores table structures and metadata persistently, allowing LLMs to save and retrieve database snapshots for automatic context management.

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    An MCP server that provides persistent memory for database schemas by storing table structures and metadata in a local SQLite file. It enables LLMs to save, retrieve, and manage database snapshots to maintain a structured understanding of database architectures.
    Last updated
    5
    MIT
  • Why this server?

    Provides schema inspection and query execution, enabling AI assistants to scan table structures and use them as context.

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    maintenance
    A Model Context Protocol server that provides AI assistants with comprehensive access to SQL databases, enabling schema inspection, query execution, and database operations with enterprise-grade security.
    Last updated
    23
    7
    MIT
  • Why this server?

    Unified interface for exploring schemas across SQLite, PostgreSQL, and MySQL, supporting automatic context upload for AI agents.

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    Connect AI agents to SQL databases (SQLite, PostgreSQL, MySQL) with a unified interface for querying data, exploring schemas, inserting rows, and exporting results to CSV. Includes safety features like dangerous query blocking and write guards.
    Last updated
    6
    MIT