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Kafka Schema Registry MCP Server

@aywengo

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

aywengo

关于 Kafka Schema Registry MCP Server

A comprehensive Message Control Protocol (MCP) server for Kafka Schema Registry.

#kafka#schema-registry#mcp#apache-kafka#mcp-server

Kafka Schema Registry MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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"
      }
    }
  }
}

Kafka Schema Registry MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Kafka Schema Registry MCP Server?

It is a Model Context Protocol (MCP) server that provides Claude Desktop and other MCP clients with tools for Kafka Schema Registry operations, including advanced schema context support, multi-registry management, and comprehensive schema export capabilities.

How to use Kafka Schema Registry MCP Server?

Install via Docker (recommended) with environment variables for registry URL, then configure Claude Desktop using the provided config examples. Interact using natural language prompts to list contexts, register schemas, or export schemas. Alternatively, run locally with Python or use Docker Compose for testing.

Key features of Kafka Schema Registry MCP Server

  • Multi-registry management (up to 8 registries)
  • Schema contexts for environment isolation
  • Schema migration with backup and verification
  • Comprehensive export in JSON and Avro IDL formats
  • Production safety with VIEWONLY mode
  • OAuth 2.1 authentication support

Use cases of Kafka Schema Registry MCP Server

  • Register new Avro schemas and check compatibility
  • Migrate schemas between development and production registries
  • Export schemas for backup and documentation
  • Manage multiple Schema Registry instances in one interface
  • Generate schemas from natural language using Claude Code skills

常见问题

1

What is SLIM_MODE?

SLIM_MODE reduces the number of exposed MCP tools to an essential subset (~9 tools) for faster LLM response times and lower token usage. It is recommended for most day-to-day operations.

2

Can I manage multiple Schema Registry instances?

Yes, the server supports up to 8 registries simultaneously using environment variables with numbered suffixes (e.g., SCHEMA_REGISTRY_NAME_1, SCHEMA_REGISTRY_URL_2). Each registry can have its own VIEWONLY and authentication settings.

3

How do I secure the server for production use?

Set VIEWONLY=true to enable read-only protection, and use OAuth 2.1 authentication with scope-based permissions via the SCHEMA_REGISTRY_USER and SCHEMA_REGISTRY_PASSWORD environment variables.

4

What transport and protocol does it use?

The server uses the MCP 2025-06-18 specification over stdio (JSON-RPC) for communication with Claude Desktop and other MCP clients.

5

What are the runtime requirements?

Python 3.10 or higher is required. The server depends on the FastMCP 2.8.0+ framework and Python libraries listed in requirements.txt. Docker images are available for deployment.

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