Skip to main content
Glama
shivamxtech
by shivamxtech

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:

  1. Publish message 'i am using kafka server' on the topic 'test-kafka'

  2. Consume the message from topic 'test-kafka'

  3. List all topics from the kafka environment

Related MCP server: Kafka MCP Server

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'

A
license - permissive license
-
quality - not tested
F
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • F
    license
    -
    quality
    D
    maintenance
    Enables AI assistants to manage and monitor Apache Kafka clusters through natural language, providing real-time operations, health monitoring, consumer lag analysis, and temporal trend detection for intelligent cluster management.
    Last updated
  • A
    license
    -
    quality
    D
    maintenance
    Enables interaction with Kafka clusters via MCP, supporting topic management (list, create, delete, inspect), connection initialization, and more through natural language.
    Last updated
    1
    Apache 2.0

View all related MCP servers

Related MCP Connectors

  • Create and manage AI agents that collaborate and solve problems through natural language interacti…

  • Persistent memory and knowledge management for AI agents with semantic search and 50+ tools.

  • Build, validate, and deploy multi-agent AI solutions from any AI environment.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/shivamxtech/kafka-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server