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Inspect Peaka schemas and run SQL queries with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "peaka-mcp-server" yet — see the docs or source repo.
Connect to my Peaka project, list all available schemas, tables, and key fields, and group them by business domain.
A clear schema overview with schemas, table names, fields, and their purposes.
Using the current Peaka project schema, query the daily order count and total sales for the last 30 days, sorted by date ascending.
Generate and execute the SQL, then return daily aggregated orders and sales.
Here is my SQL. Check whether it references missing fields or tables, fix it based on the actual schema in Peaka, and run it again.
Identify schema issues in the original query, provide corrected SQL, and return executable results.
Safely let AI inspect database schemas and query PostgreSQL and MySQL data.
Connect to SQL Server to query data, inspect schema, and analyze performance.
Lets AI assistants run SQL and inspect PostgreSQL schemas via MCP tools.
Query PostgreSQL databases and schemas through natural language with read-only AI access.
Inspect PostgreSQL schemas and run read-only SQL queries through MCP tools.
Interact with MySQL databases using natural language for queries and management.