# OCI Kafka MCP Server

> OCI Kafka MCP Server — bhaumikabhishek-oci-kafka-mcp-server. Use this tool when you need to manage Kafka clusters securely and efficiently, enabling AI-native control and automation of OCI Streaming with Apache Kafka. It solves problems related to cluster management, providing a structured execution interface with safety guardrails to prevent errors. Ideal for use cases requiring reliable and secure Kafka cluster control, with inputs including execution commands and outputs including cluster status and performance metrics.

Canonical page: https://skillsregistry.net/skills/bhaumikabhishek-oci-kafka-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/bhaumikabhishek-oci-kafka-mcp-server

## Description

An AI-native control interface for OCI Streaming with Apache Kafka that enables LLM agents to securely manage Kafka clusters through structured tool execution with safety guardrails.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h3jpgyvb1c)
- **Repository:** <https://github.com/BhaumikAbhishek/oci-kafka-mcp-server>

## 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": "bhaumikabhishek-oci-kafka-mcp-server"
    }
  }
}
```

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