Cbeta FAQs

Question 1

What are the key features of Cbeta?

Accepted Answer

Key features include automatic tool registration, a unified POST interface with BaseModel validation, asynchronous httpx calls, standardized JSON responses, and Docker-based deployment.

Question 2

What kind of API does Cbeta expose?

Accepted Answer

Cbeta exposes a unified POST API through the `/mcp` path, using JSON for both requests and responses. The response format is standardized with `status` and `result` fields.

Question 3

What is Cbeta?

Accepted Answer

Cbeta is a tool that aggregates multiple AI tools or microservices into a single, unified interface, simplifying integration and management.

Question 4

How do I add my own tools to Cbeta?

Accepted Answer

Place your tool files in the `tools/` directory, define parameters using `pydantic.BaseModel`, register the tool function using `@__mcp_server__.tool()`, and return `success_response()` or `error_response()`.

Question 5

How do I deploy Cbeta?

Accepted Answer

Cbeta supports Docker-based deployment for easy setup. You can use `docker-compose up --build -d` to build and run the service.

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