Speakeasy
UnclaimedAutomate SDK, Terraform Provider, and MCP Server generation from your OpenAPI specification.
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TL;DR - Speakeasy
- Generates idiomatic, type-safe SDKs in 6+ languages from OpenAPI specs.
- Automates Terraform Provider creation for seamless IaC integration.
- Enables generation and deployment of MCP servers for AI experiences.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Significantly reduces manual effort in creating and maintaining SDKs and Terraform providers.
- Ensures consistency and high quality across all generated code artifacts.
- Accelerates release schedules and improves developer experience for API consumers.
- Seamlessly integrates into existing CI/CD pipelines for continuous updates.
- Supports a wide range of programming languages for SDKs.
Cons
- Requires an existing OpenAPI specification as the source of truth.
- Customization options, while available, might still require understanding of the underlying generation process.
Key Features
SDK generation for TypeScript, Python, Go, Java, C#, PHP, and moreType-safe and idiomatic SDKsCustomizable SDK generation with overlays and hooksCI/CD integration for automated SDK updatesPublication to package managers (npm, PyPI, Maven)Terraform Provider generation from OpenAPICustomizable Terraform Provider behavior (naming, docs, validations)CI/CD integration for automated Terraform Provider updates
Pricing
Paid
Speakeasy offers paid plans. Visit their website for current pricing details.
About Speakeasy
By Toolradar Team·
Speakeasy is a developer platform that automates the generation of production-ready SDKs, Terraform Providers, and MCP (Multi-Cloud Platform) servers directly from an OpenAPI specification. It is designed for API product teams, platform engineers, and developer experience teams looking to streamline their API integration processes and enhance developer experience.
The platform ensures that generated artifacts are idiomatic, type-safe, and consistent across multiple programming languages and infrastructure-as-code tools. By integrating into CI/CD workflows, Speakeasy keeps SDKs and Terraform providers continuously updated with every API change, eliminating manual upkeep and reducing integration time for API consumers. It also supports the deployment of MCP servers for AI experiences, enabling agents to interact with both first and third-party services.
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Speakeasy FAQ
How does Speakeasy ensure the generated SDKs are idiomatic and type-safe across different languages?
Speakeasy's generator is designed to apply language-specific best practices and type systems during the generation process. It handles complex API features like OAuth 2.0, retries, pagination, and custom logic, translating them into native constructs for each target language, ensuring the SDKs feel natural to developers using them.
Can Speakeasy integrate into a monorepo setup where multiple APIs and their corresponding SDKs or Terraform providers are managed?
Yes, Speakeasy is built to integrate into existing CI/CD workflows. This allows for automated generation and updates of SDKs and Terraform providers within a monorepo, triggering pull requests for changes whenever the underlying OpenAPI specification is updated, regardless of the number of APIs.
What level of customization is available for the generated Terraform providers, beyond basic resource mapping?
Speakeasy offers configuration options to shape the provider's implementation. This includes customizing naming conventions, documentation content, validation rules, and plan behavior, allowing teams to align the generated provider with their specific infrastructure-as-code standards and requirements.
How does Speakeasy facilitate the use of MCP servers for AI experiences, and what kind of agents can utilize them?
Speakeasy generates and deploys MCP servers which act as an interface for AI agents. These servers allow agents to interact with both first-party APIs and third-party services, enabling them to perform actions and retrieve information necessary for AI-driven experiences. The platform simplifies the process of making APIs accessible and usable by AI systems.
If an API's OpenAPI spec is incomplete or has errors, how does Speakeasy handle this during the generation process?
Speakeasy validates the OpenAPI specification before proceeding with generation. If the spec contains errors or is incomplete, the platform will identify these issues, preventing the generation of faulty SDKs or Terraform providers and providing feedback to the user to correct the spec.
Source: speakeasyapi.dev