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A comprehensive MCP (Model Context Protocol) server that provides *** Desktop and other MCP clients with tools for Kafka Schema Registry operations. True MCP implementation using the official SDK with JSON-RPC over stdio.
bash# Latest stable release (recommended) docker pull aywengo/kafka-schema-reg-mcp:stable # Latest development docker pull aywengo/kafka-schema-reg-mcp:latest
To reduce *** overhead, run with SLIM_MODE enabled:
bash# Run with ~15 essential tools instead of 53+ docker run -i --rm --network host \ -e SCHEMA_REGISTRY_URL=http://localhost:8081 \ -e SLIM_MODE=true \ aywengo/kafka-schema-reg-mcp:stable
💡 SLIM_MODE Benefits:
- Reduces tool count from 53+ to ~15 essential tools
- Significantly faster *** response times
- Lower token usage and reduced costs
- Ideal for production read-only operations
- Simply set SLIM_MODE=true environment variable
bashdocker run -i --rm --network host \ -e SCHEMA_REGISTRY_URL=http://localhost:8081 \ aywengo/kafka-schema-reg-mcp:stable
bashdocker run -i --rm --network host \ -e SCHEMA_REGISTRY_NAME_1=development \ -e SCHEMA_REGISTRY_URL_1=http://dev-registry:8081 \ -e SCHEMA_REGISTRY_NAME_2=production \ -e SCHEMA_REGISTRY_URL_2=http://prod-registry:8081 \ -e VIEWONLY_2=true \ aywengo/kafka-schema-reg-mcp:stable
Add to your *** Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
json{ "mcpServers": { "kafka-schema-registry": { "command": "docker", "args": [ "run", "--rm", "-i", "--network", "host", "-e", "SCHEMA_REGISTRY_URL", "aywengo/kafka-schema-reg-mcp:stable" ], "env": { "SCHEMA_REGISTRY_URL": "http://localhost:8081" } } } }
json{ "mcpServers": { "kafka-schema-registry-multi": { "command": "docker", "args": [ "run", "--rm", "-i", "--network", "host", "-e", "SCHEMA_REGISTRY_NAME_1", "-e", "SCHEMA_REGISTRY_URL_1", "-e", "SCHEMA_REGISTRY_NAME_2", "-e", "SCHEMA_REGISTRY_URL_2", "-e", "VIEWONLY_2", "aywengo/kafka-schema-reg-mcp:stable" ], "env": { "SCHEMA_REGISTRY_NAME_1": "development", "SCHEMA_REGISTRY_URL_1": "http://localhost:8081", "SCHEMA_REGISTRY_NAME_2": "production", "SCHEMA_REGISTRY_URL_2": "http://localhost:8082", "VIEWONLY_2": "true" } } } }
With *** Desktop, use natural language commands:
"List all schema contexts" "Register a user schema with id, name, and email fields" "Migrate all schemas from staging to production" "Compare development and production registries" "Export all schemas from the production context" "Check if my updated schema is compatible"
| Variable | Description | Example |
|---|---|---|
SCHEMA_REGISTRY_URL | Single registry endpoint | http://localhost:8081 |
SCHEMA_REGISTRY_NAME_X | Registry alias (X=1-8) | production |
SCHEMA_REGISTRY_URL_X | Registry endpoint (X=1-8) | http://prod:8081 |
VIEWONLY_X | Per-registry viewonly (X=1-8) | true |
SCHEMA_REGISTRY_USER_X | Username (X=1-8) | user |
SCHEMA_REGISTRY_PASSWORD_X | Password (X=1-8) | pass |
register_schema, get_schema, check_compatibilitylist_contexts, create_context, migrate_contextcompare_registries, migrate_schema, test_registry_connectionupdate_global_config, get_subject_configexport_schema, export_context, export_globalget_task_progress, list_all_active_tasksSet VIEWONLY=true for production safety:
The migrate_context tool generates ready-to-run Docker commands using the external https://github.com/aywengo/kafka-schema-reg-migrator:
"Migrate staging context to production" → Returns: docker run command with automatic credential mapping → Features: Copy-paste execution, no file setup required
Ready to start? Pull the Docker image and configure *** Desktop to manage your Kafka Schema Registry with natural language! 🚀
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