Kafka MCP

Overview

The Kafka MCP Server offers efficient way to convert prompts into actions into Kafka ecosystem. It is a natural language interface designed for agentic applications to efficiently manage Kafka operations and integrate seamlessly with MCP Clients enabling AI driven workflows to interact with processes in Kafka.

Features

• Natural Language Queries: Enables AI agents to query and update Redis using natural language.
• Seamless MCP Integration: Works with any MCP client for smooth communication.
• Full Kafka Support: Handles producer, consumer, topics, broker, partitions and offsets.
• Scalable & Lightweight: Designed for high-performance data operations.

Tools

This MCP Server offers various tools for Kafka: consumer and producer tools allow to consumer and publish message on topics topic tools allow to list, create, delete and describe topics in Kafka. broker allows to get broker info. partition tools allow to get partitions and partition offsets. group_offset tools allow to get and reset offsets in Kafka.

Configurations

set the following in .env file or export manually

BOOTSTRAP_SERVERS=your_kafka_server
MCP_TRANSPORT=stdio

Local Development

Create a virtual environment

python3 -m venv .venv\n\n# Activate the virtual environment\n\n# On Windows
.venv\Scripts\activate\n\n# On macOS/Linux
source .venv/bin/activate

Install Dependencies

pip install -r requirements.txt\n\n# Or using uv (faster)
uv pip install -r requirements.txt

Set Configurations in terminal/env

BOOTSTRAP_SERVERS=
MCP_TRANSPORT=stdio

Run the application

python3 src/main.py\n\n# OR
uv run python3 src/main.py

To interact with server, Add the following configuration to your MCPO server's config.json file (e.g., in Claude Desktop):

{
  "mcpServers": {
    "kafka-mcp": {
      "command": "python3",
      "args": ["/Users/I528600/Desktop/mcp/kafka-mcp/src/main.py"],
      "env": {
        "BOOTSTRAP_SERVERS": "localhost:9092",
        "MCP_TRANSPORT": "stdio"
      }
    }
  }
}

Example prompts

• List all topics in the kafka cluster
• Create topic 'my-kafka' in kafka cluster
• Publish a message 'hello from mcp' to the topic 'my-kafka' in cluster
• Consume 2 messages from the topic 'my-kafka' in kafka cluster
• Describe the topic 'my-kafka'