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Copy file name to clipboardExpand all lines: modules/ai-agents/pages/mcp/overview.adoc
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:description: Learn about Model Context Protocol (MCP) in Redpanda Cloud, including the two complementary options: Redpanda Cloud MCP Server and Remote MCP (managed).
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**Model Context Protocol (MCP)** is a way to give AI assistants like Claude access to tools and data they wouldn't normally have. Instead of just chatting with your AI assistant, you can ask it to perform real tasks on your behalf.
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Model Context Protocol (MCP) is a way to give AI assistants like Claude access to tools and data they wouldn't normally have. Instead of just chatting with your AI assistant, you can ask it to perform real tasks on your behalf.
Copy file name to clipboardExpand all lines: modules/ai-agents/pages/mcp/remote/quickstart.adoc
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== Summary
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You extended Claude's capabilities with custom tools that interact with your Redpanda cluster. Claude can now generate and publish event data through natural language commands—no manual scripting required. This same pattern works for any workflow: reading from topics, transforming data, querying databases, or calling external APIs.
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You extended Claude's capabilities with custom tools that interact with your Redpanda cluster. Claude can now generate and publish event data through natural language commands without manual scripting. This same pattern works for any workflow: reading from topics, transforming data, querying databases, or calling external APIs.
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== Troubleshoot
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Now that you understand how MCP works, you can create custom tools for your specific use cases:
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* **Data ingestion**: Build tools that read from external APIs, databases, or file systems and publish to Redpanda topics
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* **Data processing**: Create tools that consume from topics, transform data, and write results back
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* **Monitoring and observability**: Add tools that query metrics, check system health, or analyze streaming data
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* **Integration workflows**: Connect Redpanda to other systems through custom tools that Claude can orchestrate
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* **Data ingestion**: Build tools that read from external APIs, databases, or file systems and publish to Redpanda topics.
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* **Data processing**: Create tools that consume from topics, transform data, and write results back to Redpanda.
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* **Monitoring and observability**: Add tools that query metrics, check system health, or analyze streaming data.
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* **Integration workflows**: Connect Redpanda to other systems through custom tools that Claude can orchestrate.
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See xref:ai-agents:mcp/remote/developer-guide.adoc[] to learn how to build custom tools using Redpanda Connect components.
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