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Kafka Mcp Server

@pavanjavaon a year ago
14 Apache-2.0
FreeCommunity
AI Systems
The Kafka MCP Server is a Message Context Protocol server that enables AI models to publish and consume messages via Apache Kafka. It offers a standardized interface, making it easier to integrate LLM and Agentic applications with messaging functionalities.

Overview

What is Kafka Mcp Server

kafka_mcp_server is a Message Context Protocol (MCP) server that integrates with Apache Kafka, enabling publish and consume functionalities for large language models (LLM) and agentic applications.

Use cases

Use cases for kafka_mcp_server include real-time data processing for AI applications, enabling communication between different AI models, and facilitating event-driven architectures in agentic applications.

How to use

To use kafka_mcp_server, clone the repository, set up a virtual environment, install the required dependencies, configure the .env file with Kafka settings, and run the server using the main.py script. You can also integrate it with Claude Desktop by adding the appropriate configuration.

Key features

Key features include the ability to publish messages to Kafka topics, consume messages from Kafka topics, and support for different transport options such as standard input/output and Server-Sent Events.

Where to use

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Content

Verified on MseeP

Kafka MCP Server

A Message Context Protocol (MCP) server that integrates with Apache Kafka to provide publish and consume functionalities for LLM and Agentic applications.

Overview

This project implements a server that allows AI models to interact with Kafka topics through a standardized interface. It supports:

  • Publishing messages to Kafka topics
  • Consuming messages from Kafka topics

Prerequisites

  • Python 3.8+
  • Apache Kafka instance
  • Python dependencies (see Installation section)

Installation

  1. Clone the repository:

    git clone <repository-url>
    cd <repository-directory>
    
  2. Create a virtual environment and activate it:

    python -m venv venv
    source venv/bin/activate  # On Windows, use: venv\Scripts\activate
    
  3. Install the required dependencies:

    pip install -r requirements.txt
    

    If no requirements.txt exists, install the following packages:

    pip install aiokafka python-dotenv pydantic-settings mcp-server
    

Configuration

Create a .env file in the project root with the following variables:

# Kafka Configuration
KAFKA_BOOTSTRAP_SERVERS=localhost:9092
TOPIC_NAME=your-topic-name
IS_TOPIC_READ_FROM_BEGINNING=False
DEFAULT_GROUP_ID_FOR_CONSUMER=kafka-mcp-group

# Optional: Custom Tool Descriptions
# TOOL_PUBLISH_DESCRIPTION="Custom description for the publish tool"
# TOOL_CONSUME_DESCRIPTION="Custom description for the consume tool"

Usage

Running the Server

You can run the server using the provided main.py script:

python main.py --transport stdio

Available transport options:

  • stdio: Standard input/output (default)
  • sse: Server-Sent Events

Integrating with Claude Desktop

To use this Kafka MCP server with Claude Desktop, add the following configuration to your Claude Desktop configuration file:

{
  "mcpServers": {
    "kafka": {
      "command": "python",
      "args": [
        "<PATH TO PROJECTS>/main.py"
      ]
    }
  }
}

Replace <PATH TO PROJECTS> with the absolute path to your project directory.

Project Structure

  • main.py: Entry point for the application
  • kafka.py: Kafka connector implementation
  • server.py: MCP server implementation with tools for Kafka interaction
  • settings.py: Configuration management using Pydantic

Available Tools

kafka-publish

Publishes information to the configured Kafka topic.

kafka-consume

consume information from the configured Kafka topic.

  • Note: once a message is read from the topic it can not be read again using the same groupid

Create-Topic

Creates a new Kafka topic with specified parameters.

  • Options:
    • --topicName of the topic to create
    • --partitionsNumber of partitions to allocate
    • --replication-factorReplication factor across brokers
    • --config(optional) Topic-level configuration overrides (e.g., retention.ms=604800000)

Delete-Topic

Deletes an existing Kafka topic.

  • Options:
    • --topicName of the topic to delete
    • --timeout(optional) Time to wait for deletion to complete

List-Topics

Lists all topics in the cluster (or filtered by pattern).

  • Options:
    • --bootstrap-serverBroker address
    • --pattern(optional) Regular expression to filter topic names
    • --exclude-internal(optional) Exclude internal topics (default: true)

Topic-Configuration

Displays or alters configuration for one or more topics.

  • Options:
    • --describeShow current configs for a topic
    • --alterModify configs (e.g., --add-config retention.ms=86400000,--delete-config cleanup.policy)
    • --topicName of the topic

Topic-Metadata

Retrieves metadata about a topic or the cluster.

  • Options:
    • --topic(If provided) Fetch metadata only for this topic
    • --bootstrap-serverBroker address
    • --include-offline(optional) Include brokers or partitions that are offline

Tools

No tools

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