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

Provides an AI agent with read-only PostgreSQL access, enabling schema browsing, foreign-key exploration, column search across tables, capped SELECT queries, and offline data dictionary export while rejecting write operations.

Enables generating JSON Schema from sample data, generating TypeScript types, validating data against schemas, creating mock data from schemas, and comparing schemas for differences.

Enables schema conversion from SQL/Prisma/JSON to Zod, TypeScript, and Pydantic, and generates realistic synthetic mock data.

Local MCP tool for understanding JSON Schema files while planning tests, summarizing types, required fields, constraints, and generating placeholder paths without copying data.

Enables automated schema management for Baserow, including creating, updating, and deleting tables and fields, with built-in 2FA TOTP authentication.

Enables AI assistants to explore MySQL database schema — tables, columns, foreign keys, indexes, and relationships — through structured tools and resources, without any write access.

An MCP server that provides deep schema introspection for Supabase/Postgres, exposing tables, columns, views, enums, RLS policies, functions, and more.

Enables SQL database interaction with true server-side result paging, runtime-managed connection profiles, and SSH-bridged access for PostgreSQL.

MCP server for querying and managing multiple databases (SQLite, PostgreSQL, MySQL) with read-only mode and schema inspection.

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.

A database MCP server providing 33 tools across PostgreSQL, MySQL, and SQLite, with connection groups, rollback, dump/restore, and schema auto-discovery via natural language.

Exposes tools that let AI coding agents browse a repo's schema snapshot of tables and columns and validate their SQL against it before running or writing it, so queries referencing invented or stale table and column names get caught and corrected up front. Provides list_tables, describe_table, search_columns, and check_sql over the same snapshot used by the CLI, hook, and CI check.

Fireproof ledger database with multi-user sync

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.

Database schema management MCP server for Claude Code, enabling natural language management from business requirements to complete databases.

MCP server for unified SQL database access, supporting multiple databases with schema discovery, caching, and safety controls.

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.

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.

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.

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.