Aiven's MCP server project provides access to services such as PostgreSQL and Kafka in the Aiven ecosystem, enabling LLMs to build full - stack solutions. It includes tools such as project lists and service details, and supports connection configuration through environment variables.

The Kafka MCP Server is an Apache Kafka Model Context Protocol (MCP) server implemented in Go. Through a standardized interface, it enables LLM models to perform Kafka operations. It provides functions such as producing/consuming messages, managing topics and consumer groups, and monitoring cluster health. It supports multiple security authentication methods and can be integrated with AI applications such as Cursor and Claude.

An experimental MCP server developed for the Kafka monitoring tool AKHQ, which helps AI assistants connect and assist users in working with AKHQ

The Kafka Schema Registry MCP service is a comprehensive message control protocol server that provides operation tools for Kafka Schema Registry to MCP clients such as Claude Desktop, supporting multi-registry management, schema context, and advanced export functions.

The Kafka MCP Server is a service based on the Model Context Protocol (MCP) that enables interaction with Apache Kafka clusters through natural language (LLM), supporting operations such as topic management, message production, and consumption.

A server implementing the MCP protocol that allows AI assistants to manage Kafka topics, connectors, and Flink SQL statements on Confluent Cloud through natural language interaction.

A message context protocol server integrating Apache Kafka, providing publishing and consuming functions for LLM and agent applications.

An MCP server implementation that provides event processing capabilities through Kafka integration and allows large language models to interact with Kafka topics through the model context protocol.

mcp-kafka is a Kafka server implementation based on the Model Context Protocol (MCP), supporting interaction with Kafka ecosystem tools, including Kafka Connect, Burrow, and Cruise Control.

The MCP server provides infrastructure connection services for LLM agents, supporting interaction with databases, file storage, Kafka, and web interfaces. It is deployed in a containerized manner and integrated with Gitlab Agent and LLM Chat to achieve automated data pipeline creation

An MCP server integrated with Apache Kafka, providing message publishing and consumption functions for LLM and agent applications

Kafka Message Processing Center Service

A Kafka tool based on the MCP protocol, supporting querying, reading/writing, and replaying Kafka messages

A production-level task management system based on the MCP protocol and Kafka, supporting task management, real-time notifications, and event stream processing, providing an interaction interface for AI agents.