
Generate SDKs, Terraform Providers, and MCP Servers from OpenAPI specifications.
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Speakeasy's generation process is designed to follow language-specific best practices and conventions. This means that a TypeScript SDK will feel natural to a TypeScript developer, a Python SDK to a Python developer, and so on, by adhering to common patterns, naming conventions, and type systems inherent to each language.
Yes, Speakeasy provides mechanisms like overlays and hooks. These allow you to modify the functionality, structure, and behavior of the generated outputs without altering the core generation process, ensuring your customizations persist across updates triggered by API changes.
An MCP (Multi-Cloud Provisioning) server acts as an intermediary to power AI agents with access to various first and third-party APIs. Speakeasy automates the generation and deployment of these servers, enabling AI experiences by providing a structured and consistent way for agents to interact with diverse API ecosystems.
Speakeasy can be incorporated into CI/CD workflows. Any changes to your OpenAPI specification can automatically trigger the generation of updated SDKs or Terraform providers, which can then be submitted as pull requests, tested, and published to relevant package managers like npm, PyPI, or Maven.
Speakeasy tackles the issues of scalability, inconsistency, and developer bottlenecks associated with manual Terraform provider creation. It eliminates the need for deep Terraform expertise, prevents providers from breaking with API evolution through automated updates, and ensures consistent quality across services, allowing teams to offer Terraform support without significant overhead.
Source: speakeasy.com