Skip to main content
Glama

MCP Kafka Schema Reg

MIT License
21
  • Apple
  • Linux

bulk_schema_update

Update multiple Kafka schemas in bulk with interactive guidance, pattern matching, and support for compatibility settings, naming conventions, and metadata updates. Use dry runs for testing.

Instructions

Update schemas in bulk with interactive guidance.

Supports compatibility settings, naming conventions, and metadata updates. Pattern matching supported (e.g., test-, deprecated-).

Input Schema

NameRequiredDescriptionDefault
batch_sizeNo
dry_runNo
patternNo
update_typeNocompatibility

Input Schema (JSON Schema)

{ "properties": { "batch_size": { "default": 10, "title": "Batch Size", "type": "integer" }, "dry_run": { "default": true, "title": "Dry Run", "type": "boolean" }, "pattern": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Pattern" }, "update_type": { "default": "compatibility", "title": "Update Type", "type": "string" } }, "type": "object" }
Install Server

Other Tools from MCP Kafka Schema Reg

Related Tools

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/aywengo/kafka-schema-reg-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server