Hi HN, I’m Evan. I’ve been building API frameworks in JavaScript and Typescript for over a decade (I created Actionhero), and Keryx is the distillation of everything I’ve learned, rebuilt from scratch on Bun and TypeScript.
The big idea: you write one action class with a Zod schema, and the framework serves it as an HTTP endpoint, a WebSocket handler, a CLI command, a background task, and an MCP tool with the same validation, same middleware, same `run()` method. The only thing that changes is how the request arrives.
The MCP part is what pushed me to build this. I work on AI agent infrastructure at Arcade (we do authorization and tooling for AI agents), and I kept seeing folks bolt MCP servers onto existing APIs as a separate layer with duplicated auth, duplicated schemas, and duplicated error handling. Keryx makes your API an MCP server by default — OAuth 2.1 + PKCE built in, per-session isolation, and typed errors that agents can actually distinguish.
The stack is opinionated: Bun, Zod, Drizzle ORM, Redis (for Resque-based background tasks and PubSub), PostgreSQL. No compilation step, sub-second startup.
You can try it right now:
bunx keryx new my-app
cd my-app
cp .env.example .env
bun install
bun dev
Requires Bun, PostgreSQL, and Redis running locally (and a `createdb bun` for the default DB).
Some things I’d love feedback on:
- Is the “one action, every transport” abstraction too magical, or does it feel natural once you use it?
- The MCP-native approach — is this how you’d want to add agent support to a new project?
- Anything missing from the comparison table on the homepage?
Hi HN, I’m Evan. I’ve been building API frameworks in JavaScript and Typescript for over a decade (I created Actionhero), and Keryx is the distillation of everything I’ve learned, rebuilt from scratch on Bun and TypeScript.
The big idea: you write one action class with a Zod schema, and the framework serves it as an HTTP endpoint, a WebSocket handler, a CLI command, a background task, and an MCP tool with the same validation, same middleware, same `run()` method. The only thing that changes is how the request arrives.
The MCP part is what pushed me to build this. I work on AI agent infrastructure at Arcade (we do authorization and tooling for AI agents), and I kept seeing folks bolt MCP servers onto existing APIs as a separate layer with duplicated auth, duplicated schemas, and duplicated error handling. Keryx makes your API an MCP server by default — OAuth 2.1 + PKCE built in, per-session isolation, and typed errors that agents can actually distinguish.
The stack is opinionated: Bun, Zod, Drizzle ORM, Redis (for Resque-based background tasks and PubSub), PostgreSQL. No compilation step, sub-second startup.
You can try it right now:
Requires Bun, PostgreSQL, and Redis running locally (and a `createdb bun` for the default DB).Some things I’d love feedback on:
- Is the “one action, every transport” abstraction too magical, or does it feel natural once you use it? - The MCP-native approach — is this how you’d want to add agent support to a new project? - Anything missing from the comparison table on the homepage?
Code is MIT licensed: https://github.com/actionhero/keryx
Happy to answer questions about the architecture, the MCP integration, or why I think Bun is ready for this kind of framework.
Nice. I'm still working on a gunshi-mcp, a Gunshi plugin for cli + MCP. Keryx here going considerably further is neat!
It's wild how many ways we have to run subprocesses!