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Enable AI to create, manage, and query SQLite databases with required metadata.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Database Manager" yet — see the docs or source repo.
Create a SQLite database for an inventory system with products, suppliers, and stock_movements tables, and add discoverability metadata for every table and field.
A database schema, table creation statements, and complete metadata documentation for future querying and maintenance.
Query the top 10 best-selling products in the last 30 days, summarize revenue by category, and return the SQL plus an explanation of the results.
Executable SQL, a summary of results, and a concise business-oriented analysis.
Inspect the current SQLite database schema and metadata completeness, identify missing descriptions, inconsistent naming, or redundant fields, and propose fixes.
A schema review report, issue list, and actionable optimization or remediation recommendations.
Manage MySQL databases with natural language for queries, CRUD, and monitoring.
Safely query and inspect local SQLite databases through a read-only MCP server.
Query and manage multiple databases with read-only access and schema inspection.
Query databases in natural language and auto-generate and execute SQL.
Safely explore, profile, and query SQLite and PostgreSQL databases with AI.
Connect LLM apps to query and manage multiple databases through one tool.