What is the StreamNative MCP Server?

The StreamNative MCP (Model Context Protocol) Server bridges the gap between AI models and streaming data systems like Apache Kafka and Pulsar, enabling AI agents to interact with real-time data.

What is the Model Context Protocol (MCP)?

MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs), facilitating the development of AI agents and complex workflows.

What are the key features of the StreamNative MCP Server?

Key features include StreamNative Cloud integration, Apache Kafka and Pulsar support, multiple connection options, tool configuration, and observability.

How do I install the StreamNative MCP Server?

You can install it using Homebrew, Docker, GitHub Releases, or by building from source.

What are the use cases for the StreamNative MCP Server?

Use cases include real-time analytics, intelligent automation, personalized customer experiences, enhanced observability, and AI-powered security.

What is streamnative-cloud feature?

Manage StreamNative Cloud context and check resource logs.

What is kafka-admin-topics feature?

Manage Kafka topics.

How does the StreamNative MCP Server integrate with UBOS?

StreamNative MCP Server integrates seamlessly with UBOS, the Full-stack AI Agent Development Platform.

How can I inspect the MCP Server?

You can use the @modelcontextprotocol/inspector tool to inspect and test your MCP server.

What is StreamNative Cloud Integration?

StreamNative Cloud Integration allows connecting to StreamNative Cloud resources with authentication, switching to clusters, and describing the status of cluster resources.