MCP
Self-hostable MCP servers — generate with the Speakeasy CLI

David Adler
July 30, 2025 - 2 min read
Gram by Speakeasy
But for organizations that prefer a bare-metal approach, we’re excited to introduce the new self-hostable MCP target. This dedicated target creates an MCP server code repository, which can be deployed as a remote server or used locally. It’s a perfect fit for those who want total control over the internals of their MCP servers.
A fully featured MCP server
The new self-hostable MCP target is an evolution of the SDK-bundled version. By creating a dedicated target, more MCP-specific features have been added, for a more fully featured server:
- Automatic DXT generation - A packaged Desktop Extension for easy distribution
- Built-in Cloudflare deployment - One-click configuration for global edge distribution
- Streamlined OAuth setup - Production-ready authentication with minimal configuration
Whether you’re running your MCP server locally or remotely, the new target makes getting up and running as easy as possible.
Moving on from bundled MCP
If you’re currently using MCP servers generated as part of TypeScript SDK generation, migrating to standalone generation is straightforward:
-
Run standalone generation: Use the Speakeasy CLI to generate a standalone MCP server.
-
Update configurations: Remove MCP server generation from your TypeScript SDK by editing the
gen.yaml
file. -
Distribute easily: Use your MCP server locally with DXT or deploy on Cloudflare for a remote server experience.
For detailed documentation on customization, deployment, and advanced features, visit our standalone MCP documentation.
Why now?
The importance of the Model Context Protocol in the AI ecosystem is growing. By optimizing specifically for MCP use cases, we’re enabling:
- Better performance: MCP servers optimized for their specific use case
- Easier deployment: Production-ready features designed for MCP hosting
- Enhanced distribution: Multiple distribution methods for different audiences
- Independent evolution: MCP features can evolve without SDK constraints
The future of API-AI integration is here, and it’s built for independence, optimization, and production scale. Try standalone MCP generation today and see the difference dedicated tooling makes.