Avrotize is a tool for converting between various data and database schema formats and generating code for different programming languages based on data structure definitions.
From the registry: Schema conversion and schema-driven code generation MCP server.
$ pip install "avrotize[mcp]"https://pypi.org/project/avrotize/Please install the `avrotize` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install avrotize with MCP extras** — Install the Avrotize Python package with MCP server support. Run: `pip install "avrotize[mcp]"` (https://pypi.org/project/avrotize/)
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["--from","avrotize[mcp]","avrotize","mcp"]
Note: Run as 'avrotize mcp' after installing avrotize[mcp]. Exposes schema conversion tools via stdio.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.