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Access databases, storage, and data lakes through one backend MCP tool.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-backend" yet — see the docs or source repo.
Connect to the PostgreSQL database and query new users, paid conversion rate, and top 10 acquisition channels for the last 30 days, then format the results as a table.
A structured results table with key metric summaries.
List files added this month under the reports/ directory in Supabase Storage, flag files larger than 100MB, and generate cleanup recommendations.
A file inventory, oversized file flags, and actionable cleanup suggestions.
Inspect available SQL seeds in the current environment, run initialization in dependency order, and report successes, failures, and rollback recommendations.
Execution results for seeds, detailed errors, and recommended next steps.
Connect AI assistants to PostgreSQL for secure querying, management, and analysis.
Connect to PostgreSQL and MySQL, run SQL, and manage database transactions.
Connect to multiple databases to explore schemas and run SQL queries.
Safely manage PostgreSQL databases with schema exploration, procedure analysis, and test data generation.
Query and manage multiple databases with read-only access and schema inspection.
Connect LLM apps to query and manage multiple databases through one tool.