Developer · Local MCP server

Kafka Dataops MCP

DataOps Kafka MCP server with consumer lag diagnosis and broker monitoring.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.Aguantar/kafka-dataops-mcp
Version
0.1.0
Status
Active
Category
developer
Transport
stdio (local process)
Package
PyPI
Published
2026-03-19
Updated
2026-03-19
Publisher
Aguantar (GitHub) · 2 servers with pages here
Listed under
Kafka MCP servers
Repository
github.com/Aguantar/kafka-mcp-server
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIkafka-dataops-mcp0.1.0stdioKAFKA_BOOTSTRAP_SERVERS

How to connect Kafka Dataops MCP

Kafka Dataops MCP runs locally from a Python package published to PyPI: kafka-dataops-mcp version 0.1.0. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx kafka-dataops-mcp. It reads the environment variable KAFKA_BOOTSTRAP_SERVERS; set it in the client's configuration for this server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "kafka-dataops-mcp": {
      "command": "uvx",
      "args": [
        "kafka-dataops-mcp"
      ],
      "env": {
        "KAFKA_BOOTSTRAP_SERVERS": "<value>"
      }
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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