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confluent_cloud-mcp_server
Model Context Protocol (MCP) is an open standard that lets AI models connect to Confluent Cloud resources—data, APIs, and operational tools—through a single, unified interface, enabling agents to access real-time streams and perform complex tasks without custom integrations.
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Python
aiconfluent-cloudllmmcp-serverpythonpython-3-14-gil-free
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest j3-signalroom/confluent_cloud-mcp_serverAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx confluent_cloud-mcp_server
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"confluent_cloud-mcp_server": {
"command": "uvx",
"args": [
"confluent_cloud-mcp_server"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
confluent_cloud-mcp_server — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt