Convert schemas between formats (Avro, JSON Schema, Protocol Buffers) and generate type-safe code from schema definitions. For developers building data pipelines, APIs, and event-driven systems who need to keep schemas and code in sync.
io.github.clemensv/avrotize
Local install
STDIO
No auth required
How models use it and what it is built for.
Convert schemas between formats (Avro, JSON Schema, Protocol Buffers) and generate type-safe code from schema definitions. For developers building data pipelines, APIs, and event-driven systems who need to keep schemas and code in sync.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Avrotize.
Paste any of these into Agent Studio after connecting Avrotize.
Common questions about connecting and running Avrotize.
What schema formats does avrotize convert between?
Avrotize supports conversion between Avro, JSON Schema, and Protocol Buffers formats. It enables you to define schemas once and generate code or convert to other formats for different parts of your system.
What programming languages can avrotize generate code for?
The server performs schema-driven code generation, but the specific supported languages depend on the version and configuration. Check the avrotize documentation or ask the MCP server directly about language support for your use case.
How do I install and run avrotize as an MCP server?
Install it using `uvx avrotize@3.4.3`. The server communicates via stdio transport, so it integrates with any MCP client that supports standard input/output for tool communication.
Can I use avrotize in automated pipelines or CI/CD?
Yes, avrotize is designed for schema-driven code generation workflows. Since it runs as an MCP server over stdio, you can integrate it into scripts and CI/CD systems that support MCP clients.
What's the difference between avrotize and writing schemas manually?
Avrotize eliminates schema duplication and keeps generated code synchronized with schema definitions. Instead of maintaining schemas and code separately, you define the schema once and generate type-safe code across multiple languages and formats automatically.
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