https://mcp.exobench.com/sseDon't see your AI tool? Any MCP-compatible client works. See docs →
ExoBench uses the Model Context Protocol (MCP) to give your AI tool direct access to a benchmarking database. The AI drives the optimization loop autonomously.
Give your AI any SQL query you want optimized.
Rewrites, creates indexes, benchmarks, and repeats until convergence.
Receive the optimized query, indexes, and a full performance report.
Finds missing indexes you didn't know you needed. Analyzes EXPLAIN plans and creates optimal single and composite indexes.
Restructures joins, subqueries, and filter ordering for optimal execution plans. Not cosmetic changes, structural ones.
Proposes covering indexes and denormalization when the query can't be optimized further with rewrites alone.
Doesn't stop at the first improvement. Loops until the benchmarker confirms no further gains are possible.
ExoBench works with the databases you already use.
Optimize this query. It's a department salary report that runs nightly and is getting slow. Our employees table has 245k rows with hire dates going back to 2015. The nightly job filters for the last ~18 months of hires. Hire dates are spread over 10 years. SELECT d.name AS department, COUNT(*), AVG(e.salary) FROM employees e JOIN departments d ON d.id = e.dept_id WHERE e.hire_date > '2023-06-01' GROUP BY d.name
Added covering index on (hire_date, dept_id) INCLUDE (salary) to enable Index Only Scan — zero heap fetches
"I built ExoBench because I managed thousands of SQL queries in the financial services industry and got tired of hand-tuning every one of them."
ExoBench is currently in invite-only preview. Request access to get started.
Applications reviewed within 24–48 hours.