# KafkaIQ

> Use this tool when you need to manage and monitor Apache Kafka clusters efficiently, as it solves problems related to real-time operations, health monitoring, and performance analysis. KafkaIQ provides a natural language interface to input commands and receive outputs on cluster health, consumer lag, and temporal trends. It is ideal for use cases requiring intelligent cluster management and automated monitoring of Kafka clusters.

Canonical page: https://skillsregistry.net/skills/ojhaayush03-kafka-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ojhaayush03-kafka-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n3wdmshihr)
- **Repository:** <https://github.com/ojhaayush03/kafka_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ojhaayush03-kafka-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ojhaayush03-kafka-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ojhaayush03-kafka-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt