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"Obtaining database schema information via an MCP server" matching MCP servers:

  • A
    license
    A
    quality
    B
    maintenance
    A read-only MCP server for PostgreSQL schemas and their git history, enabling AI agents to inspect schema details, migrations, ERDs, missing indexes, circular foreign keys, and churn without write access.
    8
    AGPL 3.0
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to explore MySQL database schema — tables, columns, foreign keys, indexes, and relationships — through structured tools and resources, without any write access.
    8
    18
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    An MCP server that provides deep schema introspection for Supabase/Postgres, exposing tables, columns, views, enums, RLS policies, functions, and more.
    13
    3
    MIT
  • F
    license
    B
    quality
    D
    maintenance
    Validates schema files against customizable lint rules using Claude or Gemini AI, supporting JSON and SQL schemas with rules for naming, structure, and migration safety.
    1
  • A
    license
    -
    quality
    D
    maintenance
    Database schema management MCP server for Claude Code, enabling natural language management from business requirements to complete databases.
    MIT
  • A
    license
    -
    quality
    B
    maintenance
    MCP server for querying and managing multiple databases (SQLite, PostgreSQL, MySQL) with read-only mode and schema inspection.
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    A Model Context Protocol server for unified database access and management, supporting multiple databases with CRUD operations, transactions, metadata queries, and built-in security features.
    11
    1
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    Enables AI agents to interact with PostgreSQL or MySQL databases using natural language. Supports SQL queries, schema discovery, and pre-built aggregations without writing SQL.
    310
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    An extensible MCP server for database operations that supports PostgreSQL for managing schemas, tables, data, and user permissions. It features automatic migration recording for DDL changes and integrates with various AI-powered editors like Cursor, Zed, and Claude Code.
    25
    2
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    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.
    29
    MIT
  • A
    license
    -
    quality
    B
    maintenance
    Enables AI assistants to safely query and explore SQL Server and PostgreSQL databases with read-only access, supporting schema discovery, relationship exploration, and query execution.
    25
    3
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    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.
    25
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    Provides Claude with direct access to databases including SQLite, SQL Server, PostgreSQL, and MySQL, enabling execution of SQL queries and table management through natural language.
    706
    1
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    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.
    25
    1
    MIT
  • A
    license
    -
    quality
    F
    maintenance
    A MCP server that exposes GraphQL schema information to LLMs like Claude. This server allows an LLM to explore and understand large GraphQL schemas through a set of specialized tools, without needing to load the whole schema into the context
    70
    47
    MIT