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Speakeasy × PlanetScale

Speakeasy x PlanetScale, 44x MCP usage growth in five months

44x growth in MCP tool calls over five months (4,663 to 205,943 monthly)

Dashboard-bound workflows to AI agent-driven database operations

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Why it works

The story leads with a concrete, month-by-month usage table that makes the 44x growth claim verifiable rather than asserted. The two-source architecture explanation (generated API tools plus custom TypeScript functions) gives readers a replicable mental model. The before-state is clear: PlanetScale faced ongoing protocol-chasing engineering work disconnected from its core product, and Speakeasy removed that burden.

Steal this

Publish the raw monthly data table alongside the headline metric. A five-row table showing exact tool-call counts per period is far more credible than a single percentage claim and makes the exponential curve impossible to dismiss.

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This is editorial commentary and curation. The case study, screenshot, and all metrics are Speakeasy's published work; we link to the source and lead with our analysis.

  • Vendor Speakeasy
  • Customer PlanetScale
  • Industry SaaS
  • Trigger AI agents becoming a primary developer workflow surface
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page