The use case: how PlanetScale deploys Speakeasy
PlanetScale used Speakeasy's AI control plane to turn its platform API into a production MCP server, so developers can work with branches, schemas, and deploy requests through AI agents. The server combines tools generated from its OpenAPI document with custom TypeScript functions deployed to the control plane.
More reported results
Figures published in Speakeasy’s case study. They are not independently measured by usedby.
In the first month, agents made about 4,700 tool calls.
Every time we've run into an issue, Speakeasy has turned around a solution in less than 24 hours.
In the customer’s words
Speakeasy made it trivial to turn our database platform API into a production MCP server. Developers interact with branches, schemas, and deploy requests through AI agents instead of dashboards.Other AI tools used by PlanetScale
Other public relationships recorded on usedby.
Explore PlanetScale’s AI stack
Speakeasy users in DevTools & Infrastructure
Companies in the same sector, with public evidence.
KongConfirmed
LaunchDarklyConfirmed
SolarWindsConfirmed
ClerkObserved
CloudinaryObserved
FireHydrantObservedGo straight to the source
Based on Speakeasy’s published case study. We check the public evidence; the results are reported by the vendor.
speakeasy.com- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 44xChecked
Printed word for word on the page, near the name of PlanetScale.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of PlanetScale.
- PlanetScale uses SpeakeasyChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
In the first month, agents made about 4,700 tool calls. Five months later, monthly volume passed 200,000 — a 44x increase, with exponential growth month to month.