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mcp-confluent

by confluentinc

An MCP server implementation that enables AI assistants to interact with Confluent Kafka and Confluent Cloud REST APIs. This server allows AI tools like Claude Desktop and Goose CLI to manage Kafka topics, connectors, and Flink SQL statements through natural language interactions.

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What is mcp-confluent?

The mcp-confluent server is an implementation of the Model Context Protocol (MCP) that allows AI assistants to interact with Confluent Kafka and Confluent Cloud REST APIs. It acts as a bridge between AI tools and Confluent services, enabling natural language management of Kafka topics, connectors, and Flink SQL statements.

How to use mcp-confluent?

To use the mcp-confluent server, you need to configure it with your Confluent Cloud credentials using a .env file. Then, you can build and run the server, and configure your MCP client (like Claude Desktop or Goose CLI) to connect to the server's address. Once connected, you can use the client's interface to interact with Confluent Cloud resources through natural language commands.

Key features of mcp-confluent

  • Enables AI assistants to manage Confluent Kafka and Confluent Cloud resources.

  • Supports integration with tools like Claude Desktop and Goose CLI.

  • Provides a natural language interface for managing Kafka topics, connectors, and Flink SQL statements.

  • Uses environment variables for configuration and credential management.

Use cases of mcp-confluent

  • Automated management of Kafka topics and connectors using AI assistants.

  • Simplified interaction with Confluent Cloud services through natural language.

  • Integration of Confluent Cloud resources into AI-powered workflows.

  • Enabling non-technical users to manage Confluent Cloud resources.

FAQ from mcp-confluent

What is MCP?

MCP stands for Model Context Protocol, a standard for enabling AI models to interact with external systems.

What Confluent Cloud services can I manage with this server?

You can manage Kafka topics, connectors, Flink SQL statements, and other Confluent Cloud resources.

How do I configure the server?

You configure the server using environment variables defined in a .env file.

What AI assistants are supported?

The server is designed to work with any MCP client, but it has been tested with Claude Desktop and Goose CLI.

How do I contribute to the project?

You can contribute by reporting bugs, providing feedback, or submitting pull requests. See the CONTRIBUTING.md file for guidelines.