# Speakeasy

**Source:** https://geo.sig.ai/brands/speakeasy  
**Vertical:** Developer Tools  
**Subcategory:** SDK & MCP Generation Platform  
**Tier:** Emerging  
**Website:** speakeasy.com  
**Last Updated:** 2026-04-14

## Summary

Raised $15M Series A (Jan 2026) led by FPV Ventures with GV. $37.5M total. 3,000+ users, 7,250 SDKs generated (575% YoY growth). MCP Platform for building and managing MCP servers.

## Company Overview

Speakeasy auto-generates type-safe SDKs, Terraform providers, CLI tools, contract tests, and MCP (Model Context Protocol) servers from OpenAPI specifications — dramatically reducing the time and cost of making APIs accessible to developers across every programming language and AI agent interface. The company raised $15 million in Series A financing in January 2026, led by FPV Ventures with GV (Google Ventures) as a co-investor, bringing total funding to $37.5 million. Speakeasy has 3,000+ users and generated 7,250 SDKs — a 575% year-over-year growth in SDK generation volume.

The Model Context Protocol (MCP) adoption in 2026 — Anthropic's standard for connecting AI models to external tools and data sources — is Speakeasy's new growth catalyst: as every company races to make their APIs accessible to AI agents via MCP, Speakeasy's MCP Platform provides the enterprise control plane for building, securing, and monitoring MCP servers at scale. The same OpenAPI spec that generates a JavaScript SDK now also generates an MCP server that AI agents can interact with.

GV's co-investment alongside FPV Ventures reflects Google's strategic interest in developer API infrastructure that could integrate with Google's AI development ecosystem. As APIs become the interface layer for AI agents (not just human developers), the tooling for creating, distributing, and managing API access becomes foundational infrastructure for the AI economy.

## Frequently Asked Questions

### What does Speakeasy do?
Auto-generates type-safe SDKs, Terraform providers, CLI tools, and MCP servers from OpenAPI specs. 3,000+ users, 7,250 SDKs generated (575% YoY). MCP Platform for AI agent integration.

### How much has Speakeasy raised?
$15M Series A in January 2026 led by FPV Ventures with GV. $37.5M total.

### What is MCP and why does it matter for Speakeasy?
Model Context Protocol (Anthropic) is the 2026 standard for connecting AI agents to external APIs. Speakeasy generates MCP servers from OpenAPI specs — the same tool that builds SDKs now builds AI agent interfaces.

### Why is GV co-investing?
Google's strategic interest in developer API infrastructure that integrates with Google's AI ecosystem. APIs becoming AI agent interfaces makes API tooling foundational infrastructure for the AI economy.

### What programming languages does Speakeasy support for SDK generation?
Speakeasy generates SDKs for Python, TypeScript, Go, Java, C#, Ruby, PHP, and Swift, covering the major languages where API consumers expect official client libraries, with each SDK following the idiomatic conventions of its language.

### How does Speakeasy handle SDK maintenance as an API evolves?
Speakeasy integrates into CI/CD pipelines and regenerates SDKs automatically when the OpenAPI specification changes, publishing updated SDK versions to package managers like PyPI, npm, and Maven with properly bumped semantic version numbers and generated changelogs.

### Does Speakeasy generate Terraform providers?
Yes. Speakeasy generates Terraform providers from OpenAPI specifications, allowing API-first companies to give infrastructure teams a Terraform interface to their API without manually writing a provider — important for enterprise customers who manage infrastructure as code.

### What is the Speakeasy MCP Platform?
The Speakeasy MCP Platform generates Model Context Protocol (MCP) servers from OpenAPI specs, creating AI agent interfaces to any API. As AI agents increasingly use tools defined by MCP, having an MCP server lets enterprise customers use Speakeasy-generated SDKs to connect AI models to internal APIs.

## Tags

b2b, developer-tools, saas

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*