shivamxtech/kafka-mcp
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The Kafka MCP Server provides a natural language interface for managing Kafka operations, enabling seamless integration with MCP Clients for AI-driven workflows.
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. Using this MCP Server, you can ask questions like:
- Publish message 'i am using kafka server' on the topic 'test-kafka'
- Consume the message from topic 'test-kafka'
- List all topics from the kafka environment
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
# Using venv (built-in)
python3 -m venv .venv
# Activate the virtual environment
# On Windows
.venv\Scripts\activate
# On macOS/Linux
source .venv/bin/activate
Install Dependencies
# Using pip
pip install -r requirements.txt
# Or using uv (faster)
uv pip install -r requirements.txt
Set Configurations in terminal/env
BOOTSTRAP_SERVERS=<your_kafka_url>
MCP_TRANSPORT=stdio
Run the application
python3 src/main.py
# 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'