Kafka Schema Registry Mcp Server

Created By

aywengo6 months ago

Overview

What is Kafka Schema Registry MCP Server?

Kafka Schema Registry MCP Server is a comprehensive Message Control Protocol (MCP) server designed to facilitate Kafka Schema Registry operations, providing tools for schema management, configuration, and operational control.

How to use Kafka Schema Registry MCP Server?

To use the server, you can either run it via Docker or install it locally using Python. Configuration involves setting environment variables for schema registry connections and operational modes.

Key features of Kafka Schema Registry MCP Server?

MCP Integration: Direct compatibility with Claude Desktop and other MCP clients.
Schema Management: Register, retrieve, and manage Avro schemas.
Multi-Registry Support: Connect to multiple Schema Registry instances.
Advanced Configuration Management: Control compatibility settings and operational modes.
Schema Export: Export schemas in various formats for backup and documentation.

Use cases of Kafka Schema Registry MCP Server?

Managing schemas across multiple environments (development, staging, production).
Ensuring schema compatibility during evolution and updates.
Automating schema operations through natural language commands in Claude Desktop.

FAQ from Kafka Schema Registry MCP Server?

Can I use it with existing Kafka setups?

Yes, it integrates seamlessly with existing Kafka Schema Registries.

Is it suitable for production use?

Yes, it is designed with production safety features, including read-only modes and configuration controls.

What are the prerequisites for running the server?

You need Docker or Python 3.11+, along with access to a running Kafka Schema Registry.

Server Config

{
  "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_USER_1",
        "-e",
        "SCHEMA_REGISTRY_PASSWORD_1",
        "-e",
        "READONLY_1",
        "-e",
        "SCHEMA_REGISTRY_NAME_2",
        "-e",
        "SCHEMA_REGISTRY_URL_2",
        "-e",
        "SCHEMA_REGISTRY_USER_2",
        "-e",
        "SCHEMA_REGISTRY_PASSWORD_2",
        "-e",
        "READONLY_2",
        "aywengo/kafka-schema-reg-mcp:stable",
        "python",
        "kafka_schema_registry_unified_mcp.py"
      ],
      "env": {
        "SCHEMA_REGISTRY_NAME_1": "<NAME of SR 1>",
        "SCHEMA_REGISTRY_URL_1": "<URL of SR  1>",
        "SCHEMA_REGISTRY_USER_1": "",
        "SCHEMA_REGISTRY_PASSWORD_1": "",
        "READONLY_1": "false",
        "SCHEMA_REGISTRY_NAME_2": "<NAME of SR 2>",
        "SCHEMA_REGISTRY_URL_2": "<URL of SR 2>",
        "SCHEMA_REGISTRY_USER_2": "",
        "SCHEMA_REGISTRY_PASSWORD_2": "",
        "READONLY_2": "false"
      }
    }
  }
}

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