# AI and ML in Confluent Cloud Confluent provides two sets of AI and ML capabilities. With Confluent Intelligence, you build AI workflows directly in Confluent Cloud using Flink SQL. With AI tools, you bring Confluent into the AI assistants and coding agents you already use. ## Confluent Intelligence Confluent Intelligence is a suite of capabilities for building agentic AI workflows with Flink SQL. You can create streaming agents, serve real-time context to AI agents, and run built-in ML functions. Confluent Intelligence includes the following capabilities: - **Streaming Agents**: Create AI agents that run continuously in Flink SQL, connecting your streaming data to AI models. For more information, see [Streaming Agents](streaming-agents/overview.md#ai-streaming-agents-overview). - **Real-Time Context Engine**: Deliver real-time data from your Kafka topics to external AI agents through MCP. For more information, see [Real-Time Context Engine](real-time-context-engine/overview.md#real-time-context-engine). - **Built-in ML functions**: Run forecasting, anomaly detection, sentiment analysis, and PII detection directly in Flink SQL. For more information, see [Built-In AI/ML Functions](builtin-functions/overview.md#ai-builtin-functions-overview). - **Model inference**: Connect to remote or managed AI models from Flink SQL. For more information, see [Run a Remote AI Model](ai-model-inference.md#flink-sql-ai-model). For more information, see [Confluent Intelligence](confluent-intelligence/overview.md#confluent-intelligence-overview). ## Use AI tools with Confluent Confluent provides tools that integrate with AI assistants and coding agents. You can manage Confluent Cloud resources, inspect topics and schemas, debug connectors, and build streaming applications using natural language. The following tools are available: - **Managed MCP servers**: Connect your AI assistant to Confluent Cloud to explore environments, inspect topics, debug connectors, and query metrics. For more information, see [Managed MCP Servers](ai-tools/managed-mcp-server.md#ai-tools-managed-mcp). - **Open-source MCP server**: Run a self-hosted MCP server that supports both Confluent Cloud and local Kafka setups. For more information, see [Open-Source MCP Server](ai-tools/open-source-mcp-server.md#ai-tools-oss-mcp). - **Agent skills**: Use AI-powered guides with your coding agent to build production-ready streaming applications. For more information, see [Agent Skills](ai-tools/agent-skills.md#ai-tools-agent-skills). For more information, see [Use AI Tools with Confluent Cloud](ai-tools/overview.md#ai-tools-overview).