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confluentinc/mcp-confluent

by Various

🐍 ☁️ - Confluent integration to interact with Confluent Kafka and Confluent Cloud REST APIs.

C

MCP

confluentinc/mcp-confluent

Added 1 June 2026

Overview

A Model Context Protocol server that enables AI agents to interact with Confluent Kafka and Confluent Cloud through REST APIs. It provides tooling for managing topics, consumer groups, and other cluster resources directly from MCP-compatible assistants or agents.

Best for

Best for
Developers building AI agents that need to interact with Confluent Kafka clusters

Use cases

  • Managing Kafka topics and configurations
  • Inspecting consumer groups and offsets
  • Integrating AI agent workflows with event streaming

How to use

Install

npx @confluentinc/mcp-confluent --config ./config.yaml

Tools exposed

  • search-product-docs
  • get-product-doc-page
  • explain-disabled-tools
  • list-configured-connections
  • config-help
  • describe-configured-connection
  • list-topics
  • create-topics
  • delete-topics
  • produce-message
  • consume-messages
  • list-consumer-groups
  • describe-consumer-group
  • get-consumer-group-lag
  • alter-topic-config
  • get-topic-config
  • create-flink-statement
  • list-flink-statements
  • get-flink-statement-results
  • delete-flink-statements

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, Goose, Gemini CLI

Notes

A Model Context Protocol server that enables AI agents to interact with Confluent Kafka and Confluent Cloud through REST APIs. It provides tooling for managing topics, consumer groups, and other cluster resources directly from MCP-compatible assistants or agents.

157 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

  • Managing Kafka topics and configurations
  • Inspecting consumer groups and offsets
  • Integrating AI agent workflows with event streaming

Pros

  • Official integration from Confluent, ensuring accurate API coverage
  • Written in TypeScript, making it easy to extend or embed
  • Follows the MCP standard for plug-and-play with supporting AI tools

Cons

  • Requires a Confluent Cloud account or a self-hosted Kafka REST proxy
  • Limited to operations exposed by the Confluent REST APIs
  • MCP ecosystem is still evolving, so compatibility may shift

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Official integration from Confluent, ensuring accurate API coverage
  • Written in TypeScript, making it easy to extend or embed
  • Follows the MCP standard for plug-and-play with supporting AI tools

Cons

  • Requires a Confluent Cloud account or a self-hosted Kafka REST proxy
  • Limited to operations exposed by the Confluent REST APIs
  • MCP ecosystem is still evolving, so compatibility may shift
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