# Home - Full Markdown Export > This file contains all Home documentation pages in markdown format for AI agent consumption. > Generated from 3 pages on 2026-06-17T13:50:44.221Z > Component: home | Version: > Site: https://docs.redpanda.com ## About This Export This export includes the **latest version** () of the Home documentation. ### AI-Friendly Documentation Formats We provide multiple formats optimized for AI consumption: - **https://docs.redpanda.com/llms.txt**: Curated overview of all Redpanda documentation - **https://docs.redpanda.com/llms-full.txt**: Complete documentation export with all components - **https://docs.redpanda.com/home-full.txt**: This file - Home documentation only - **Individual markdown pages**: Each HTML page has a corresponding .md file --- # Page 1: Welcome to Redpanda Documentation **URL**: https://docs.redpanda.com/home.md --- > For the complete documentation index, see [llms.txt](https://docs.redpanda.com/llms.txt). Component-specific: [home-full.txt](https://docs.redpanda.com/home-full.txt) --- title: Welcome to Redpanda Documentation latest-operator-version: v26.1.5 latest-console-tag: v3.7.4 latest-connect-version: 4.96.2 latest-redpanda-tag: v26.1.10 docname: index page-component-name: home page-version: master page-component-version: master page-component-title: Home page-relative-src-path: index.adoc page-edit-url: https://github.com/redpanda-data/docs-site/edit/HEAD/home/modules/ROOT/pages/index.adoc description: Redpanda is a high-performance streaming data platform and Agentic Data Plane. Kafka API-compatible, it enables real-time data streaming, event-driven architectures, and AI agent governance and observability. page-git-created-date: "2023-06-12" page-git-modified-date: "2026-05-26" --- Redpanda Documentation # Everything you need to move data and put agents to work on it. Guides, concepts, and references for the two platforms that power Redpanda: streaming your data reliably and letting AI agents act on it safely. Try: How do I connect Salesforce as an MCP source? Set a monthly token budget Deploy Redpanda on Kubernetes ## What are you here for ### Build agentic data flows Build, connect, and govern AI agents on top of your data. Create agents without code, plug in Salesforce or your database, and keep every action observable and in-policy. ![Agentic Data Plane infographic](./_images/adp-infographic.gif) [Get started](https://docs.redpanda.com/agentic-data-plane/get-started/adp-quickstart/) [Documentation](https://docs.redpanda.com/agentic-data-plane/home/) ### Stream and process data Run Redpanda clusters, move data reliably between systems, and keep storage lean with Tiered Storage and connectors. Data Platform [ Cloud Streaming, Connect, and SQL with Serverless or BYOC deployment ](https://docs.redpanda.com/cloud-data-platform/home/) [Self-Managed](https://docs.redpanda.com/self-managed/)[](../self-managed/) Deploy on your infrastructure [ Streaming v26.1 Redpanda broker and rpk CLI ](https://docs.redpanda.com/self-managed/)[ Connect Data pipelines and transformations ](https://docs.redpanda.com/connect/home/) --- # Page 2: How to Use These Docs **URL**: https://docs.redpanda.com/home/how-to-use-these-docs.md --- # How to Use These Docs > For the complete documentation index, see [llms.txt](https://docs.redpanda.com/llms.txt). Component-specific: [home-full.txt](https://docs.redpanda.com/home-full.txt) --- title: How to Use These Docs latest-operator-version: v26.1.5 latest-console-tag: v3.7.4 latest-connect-version: 4.96.2 latest-redpanda-tag: v26.1.10 docname: how-to-use-these-docs page-component-name: home page-version: master page-component-version: master page-component-title: Home page-relative-src-path: how-to-use-these-docs.adoc page-edit-url: https://github.com/redpanda-data/docs-site/edit/HEAD/home/modules/ROOT/pages/how-to-use-these-docs.adoc description: Navigate Redpanda's documentation structure and leverage AI-powered features including MCP server integration, markdown exports, and interactive documentation tools. page-git-created-date: "2026-06-15" page-git-modified-date: "2026-06-15" --- Redpanda’s documentation helps you stream data, build pipelines, and deploy AI agents whether you manage infrastructure yourself or run in the cloud. This page explains how our docs are organized, clarifies the relationship between deployment models and products, and shows you how to access documentation through AI-powered tools and programmatic interfaces. ## [](#understand-the-documentation-structure)Understand the documentation structure Redpanda’s documentation is organized around multiple deployment models and products. The Data Platform provides the streaming foundation with Cloud or Self-Managed deployment options. The Agentic Data Plane (ADP) offers a specialized infrastructure for AI agents and agentic workflows. Documentation hierarchy Redpanda Documentation ├── Data Platform │ ├── Cloud (managed by Redpanda) │ │ ├── Serverless │ │ ├── BYOC │ │ └── Dedicated │ └── Self-Managed (managed by you) │ ├── Streaming (broker, Redpanda CLI) │ └── Connect (data pipelines) └── Agentic Data Plane (ADP) └── AI agent infrastructure and workflows > 📝 **NOTE** > > **What changed:** Previously, the software that deployed a Redpanda broker was called "Redpanda Self-Managed". In the new structure, "Self-Managed" refers to the deployment model (you manage the infrastructure), while "Streaming" is the product name for the broker itself. **Key components:** - [Data Platform overview](../): The streaming foundation - [Self-Managed documentation](https://docs.redpanda.com/self-managed/): Deploy and manage yourself - [Streaming documentation](https://docs.redpanda.com/streaming/current/home/): Broker and Redpanda CLI - [Connect documentation](https://docs.redpanda.com/connect/home/): Data pipelines and integration - [Cloud documentation](https://docs.redpanda.com/cloud-data-platform/home/): Fully managed services - [Agentic Data Plane (ADP)](https://docs.redpanda.com/agentic-data-plane/home/): AI agent infrastructure ## [](#choose-your-path)Choose your path Find the documentation that matches your use case: **I want to deploy Redpanda myself** → Self-Managed docs - Install and manage Redpanda Streaming and Connect on your own infrastructure - [Streaming quickstart](https://docs.redpanda.com/streaming/current/get-started/quick-start/) - [Connect quickstart](https://docs.redpanda.com/connect/get-started/quickstarts/rpk/) **I want Redpanda managed for me** → Cloud docs - Fully managed service with Serverless, BYOC, and Dedicated options - [Get started with Cloud](https://docs.redpanda.com/cloud-data-platform/home/) **I want to integrate data sources/sinks** → Connect docs - Available in both Cloud and Self-Managed deployments - Hundreds of prebuilt connectors including AI and change data capture (CDC) - [Connect documentation](https://docs.redpanda.com/connect/home/) **I want to build AI agent infrastructure** → ADP docs - Specialized platform for agentic workflows and AI agent orchestration - [Get started with ADP](https://docs.redpanda.com/agentic-data-plane/home/) ## [](#ai-agent-access)AI agent access Redpanda’s documentation is optimized for AI agents and LLM consumption. Whether you’re building AI agents, IDE plugins, or automation tools, you can access documentation through interactive page features, a Model Context Protocol (MCP) server for real-time queries, and static markdown exports for offline processing. ### [](#discovery-files)Discovery files Redpanda follows the [llms.txt standard](https://llmstxt.org/) for AI agent discovery: - `[https://docs.redpanda.com/llms.txt](https://docs.redpanda.com/llms.txt)`: AI agent discovery file with curated overview and links to comprehensive resources - `[https://docs.redpanda.com/llms-full.txt](https://docs.redpanda.com/llms-full.txt)`: Complete documentation export with all components and versions (25MB+) ### [](#page-options)Page options Every documentation page includes interactive features: **View as plain text:** Click **View as plain text** in the page options dropdown to render the current page in GitHub-Flavored Markdown format. This option is useful for reading in markdown-aware editors, accessing content offline, or sharing documentation snippets. **Copy as Markdown:** Click **Copy as Markdown** in the page options dropdown to copy the page markdown to your clipboard with YAML frontmatter preserved (includes title, description, git dates, categories, and more). This option is useful for pasting into notes, documentation systems, or issue trackers. **Ask AI:** Click **Ask AI** in the page options dropdown or top-nav section to open an AI chat drawer with full access to Redpanda documentation. The AI can explain configurations in simpler terms, show examples, or highlight common pitfalls. ### [](#install-the-mcp-server)Install the MCP server Redpanda provides a remote [Model Context Protocol (MCP) server](https://modelcontextprotocol.io) that lets you access authoritative Redpanda documentation directly from your IDE or AI tool, such as Claude Code, Cursor, VS Code, ChatGPT, or Claude Desktop. The MCP server is hosted at: `[https://docs.redpanda.com/mcp](https://docs.redpanda.com/mcp)`. You can add this endpoint to any AI agent that supports MCP. #### Claude Code Run the following command to add the Redpanda MCP server to Claude Code: ```bash claude mcp add --scope user --transport http redpanda https://docs.redpanda.com/mcp ``` This command: - Adds the MCP server with the name `redpanda`. - Uses the native HTTP transport to connect directly to the endpoint. - Configures it for your user account (stores in `~/.claude.json`). - Works on all platforms (macOS, Linux, Windows). To verify the installation: ```bash claude mcp list ``` You should see `redpanda: [https://docs.redpanda.com/mcp](https://docs.redpanda.com/mcp) (HTTP): ✓ Connected` in the output. For more information about Claude Code, see the [Claude Code documentation](https://code.claude.com/docs/en/mcp). #### Cursor Add the following to your `.cursor/mcp.json` file: ```json { "mcpServers": { "redpanda": { "type": "http", "url": "https://docs.redpanda.com/mcp" } } } ``` For more information about MCP in Cursor, see the [Cursor documentation](https://docs.cursor.com/context/model-context-protocol). #### VS Code **Prerequisites:** VS Code 1.102+ with GitHub Copilot enabled. Create an `mcp.json` file in your workspace `.vscode` folder: `.vscode/mcp.json` ```json { "servers": { "redpanda": { "type": "http", "url": "https://docs.redpanda.com/mcp" } } } ``` To configure globally for all workspaces: 1. Open Command Palette (Cmd+Shift+P / Ctrl+Shift+P) 2. Run **MCP: Open User Configuration** 3. Add the same JSON configuration **Using MCP in VS Code:** 1. Open the Chat view (Ctrl+Cmd+I / Ctrl+Alt+I). 2. Select **Agent mode** from the dropdown. 3. Click the **Tools** button to see available MCP tools. 4. Ask questions about Redpanda and the AI automatically uses the documentation. For more details, see the [VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/customization/mcp-servers). #### ChatGPT Desktop ChatGPT Desktop supports MCP servers in developer mode. To enable: 1. Open ChatGPT Desktop. 2. Go to **Settings** > **Features**. 3. Enable **Developer mode**. 4. Navigate to **Settings** > **MCP Servers**. 5. Click **Add Server** and enter: - **Name**: `redpanda` - **URL**: `[https://docs.redpanda.com/mcp](https://docs.redpanda.com/mcp)` For more information, see the [ChatGPT Desktop MCP documentation](https://platform.openai.com/docs/guides/developer-mode). #### Claude Desktop Connect Claude Desktop to Redpanda’s MCP server using one of two methods: **Method 1: Using Connectors** This method is available for Pro, Max, Team, or Enterprise plans and works across all platforms (macOS, Windows, Linux): 1. Open Claude Desktop. 2. Navigate to Settings > Connectors. 3. Click **Add custom connector**. 4. Enter the URL: `[https://docs.redpanda.com/mcp](https://docs.redpanda.com/mcp)` 5. Follow any authentication prompts if required. > 📝 **NOTE** > > When using Connectors, Claude connects to your remote MCP server from Anthropic’s cloud infrastructure. **Method 2: Using Configuration File** This method works for all plans, including Free plan. Edit the Claude Desktop configuration file for your platform: - **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` - **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` Add the following configuration to your `claude_desktop_config.json` file: ```json { "mcpServers": { "redpanda": { "command": "npx", "args": ["-y", "mcp-remote", "https://docs.redpanda.com/mcp"] } } } ``` This configuration uses the `mcp-remote` bridge to connect to Redpanda’s remote MCP server. Claude Desktop supports only `stdio` and `sse` transports, so `mcp-remote` converts the HTTP endpoint to a compatible format. Restart Claude Desktop for changes to take effect. > ❗ **IMPORTANT** > > On Linux, Claude Desktop cannot connect to remote servers configured using `claude_desktop_config.json`. If this method doesn’t work, use the Connectors interface instead (available with Pro, Max, Team, or Enterprise plans). For more details, see the [Claude Desktop documentation](https://support.anthropic.com/en/articles/9487310-desktop-app). #### [](#other-ai-tools)Other AI tools Any tool that supports MCP servers can connect using the following URL: ```text https://docs.redpanda.com/mcp ``` > 📝 **NOTE** > > MCP support varies by tool and version. Check the specific tool’s documentation for MCP setup instructions. #### [](#what-you-can-do)What you can do Once connected, you can ask context-aware questions about Redpanda from within your editor: - "How do I configure Redpanda for production?" - "What are the instructions for running Redpanda in a local Kind cluster?" - "What are the best practices for topic partitioning in Redpanda?" - "What are Redpanda’s security features and authentication methods?" - "How do I monitor Redpanda cluster performance?" - "What’s the difference between Redpanda Cloud and self-hosted deployment?" #### [](#usage-limits)Usage limits To ensure fair use and performance for all users, the public MCP endpoint enforces the following rate limits per user: - **60 requests per 15 minutes** As well as this global limit, the `ask_redpanda_question` tool proxies to an MCP server hosted by Kapa.ai, which enforces its own limits. See the [Kapa documentation](https://docs.kapa.ai/integrations/mcp/overview#authentication) for details. These limits are suitable for: - Individual developer IDE usage - Ad-hoc documentation queries - Evaluation and testing If you exceed the limit, you receive an HTTP 429 response with rate limit headers. Wait until the reset time before retrying. Rate limit exceeded response ```text HTTP 429 Too Many Requests RateLimit-Limit: 40 RateLimit-Remaining: 0 RateLimit-Reset: ``` #### [](#troubleshooting)Troubleshooting ##### [](#server-not-connecting)Server not connecting - Verify the URL is exactly: `[https://docs.redpanda.com/mcp](https://docs.redpanda.com/mcp)`. - Check your internet connection. - Ensure your AI tool supports HTTP-based MCP servers. - Restart your AI tool after adding the configuration. ##### [](#vs-code-specific-issues)VS Code specific issues - Ensure you have VS Code 1.102 or later. - Verify GitHub Copilot is installed and enabled. - Try running **MCP: Reset Cached Tools** from the Command Palette. - Check the Output panel (**View** > **Output** > **MCP**) for error messages. ##### [](#configuration-issues)Configuration issues - For Claude Code, Cursor, and VS Code, use the HTTP transport (`--transport http` or `"type": "http"`). - For Claude Desktop, use the `mcp-remote` bridge shown in the setup section. Claude Desktop does not support direct HTTP transport. - If you previously configured Claude Code using `mcp-remote` and experience connection issues, remove the old configuration and use the HTTP transport method shown above. - Some MCP clients may have issues with SSE streaming. If you experience connection problems, verify that your client supports HTTP-based MCP servers with Server-Sent Events (SSE). - Check that your client’s Accept headers include both `application/json` and `text/event-stream`. ##### [](#rate-limiting)Rate limiting If you’re building automation or high-volume integrations and hitting rate limits frequently: - The public endpoint’s rate limits are intentionally restrictive for fair use. - Consider implementing caching on your side to reduce duplicate queries. ##### [](#other-issues)Other issues Check the [MCP GitHub repository](https://github.com/modelcontextprotocol/servers) for additional troubleshooting guidance or [report an issue](https://github.com/redpanda-data/docs-site/issues) with our documentation. ### [](#static-markdown-exports)Static markdown exports For agents without MCP support or for offline processing, use our static markdown exports: **Component-specific exports:** - `[https://docs.redpanda.com/streaming-full.txt](https://docs.redpanda.com/streaming-full.txt)`: Redpanda Streaming documentation - `[https://docs.redpanda.com/cloud-data-platform-full.txt](https://docs.redpanda.com/cloud-data-platform-full.txt)`: Redpanda Cloud documentation - `[https://docs.redpanda.com/connect-full.txt](https://docs.redpanda.com/connect-full.txt)`: Redpanda Connect documentation - `[https://docs.redpanda.com/labs-full.txt](https://docs.redpanda.com/labs-full.txt)`: Labs and tutorials **Use cases:** - Offline AI training and model fine-tuning - Batch processing and analysis - Full-text search implementations - Custom documentation tools ### [](#fetch-individual-pages)Fetch individual pages Every HTML page in our documentation has a markdown equivalent that you can access programmatically. 1. **Direct access:** Replace `.html` with `.md` in any URL Example: `[https://docs.redpanda.com/streaming/current/get-started.html](https://docs.redpanda.com/streaming/current/get-started.html)` → `[https://docs.redpanda.com/streaming/current/get-started.md](https://docs.redpanda.com/streaming/current/get-started.md)` 2. **Content negotiation:** Request any URL with `Accept: text/markdown` header **Markdown features:** - YAML frontmatter with page metadata (title, description, categories, topic type, personas) - Git dates (accurate created/modified dates from commit history) - GitHub-Flavored Markdown format **Use cases:** - API integrations - Automated documentation pipelines - Custom documentation workflows - Integration with internal knowledge bases **Contributing:** - Want to contribute to the documentation? See the [Contributing guide](https://github.com/redpanda-data/docs-site/blob/main/meta-docs/CONTRIBUTING.adoc) - Found a typo or have a suggestion? Open an issue or pull request on GitHub --- # Page 3: Redpanda Documentation **URL**: https://docs.redpanda.com/home/llms.md --- # Redpanda Documentation > For the complete documentation index, see [llms.txt](https://docs.redpanda.com/llms.txt). Component-specific: [home-full.txt](https://docs.redpanda.com/home-full.txt) --- title: Redpanda Documentation latest-operator-version: v26.1.5 latest-console-tag: v3.7.4 latest-connect-version: 4.96.2 latest-redpanda-tag: v26.1.10 docname: llms page-component-name: home page-version: master page-component-version: master page-component-title: Home page-relative-src-path: llms.adoc page-edit-url: https://github.com/redpanda-data/docs-site/edit/HEAD/home/modules/ROOT/pages/llms.adoc page-git-created-date: "2026-03-05" page-git-modified-date: "2026-06-15" --- > **Redpanda** is a high-performance streaming data platform and Agentic Data Plane that is fully compatible with the Apache Kafka® API. It enables real-time data streaming, event-driven architectures, and data pipelines with simple single-binary deployment and sub-millisecond latency. The Agentic Data Plane provides enterprise-grade governance and observability for AI agents, including audit trails, compliance controls, and visibility into agent behavior. Available as self-managed software or as a fully-managed cloud service. ## [](#discovery)Discovery **For AI agents and LLMs:** This documentation is optimized for AI consumption. If you’re an AI agent trying to help with Redpanda, start here. ### [](#find-redpanda-documentation)Find Redpanda documentation **Primary discovery methods:** 1. **This file**: `[https://docs.redpanda.com/llms.txt](https://docs.redpanda.com/llms.txt)` - You’re reading it! This follows the llms.txt standard and provides a curated overview with links to comprehensive resources. 2. **Sitemap**: `[https://docs.redpanda.com/sitemap.md](https://docs.redpanda.com/sitemap.md)` - Contains all documentation pages including this file and all exports. The sitemap index includes `[https://docs.redpanda.com/sitemap-llms.md](https://docs.redpanda.com/sitemap-llms.md)` with all AI-optimized exports. 3. **MCP server**: [https://docs.redpanda.com/home/how-to-use-these-docs.md](https://docs.redpanda.com/home/how-to-use-these-docs.md) - For Claude Code and MCP-compatible agents, this provides interactive documentation tools. ### [](#static-documentation-exports)Static documentation exports **For agents without MCP support**, we provide comprehensive static exports: - **[https://docs.redpanda.com/llms-full.txt](https://docs.redpanda.com/llms-full.txt)**: Complete documentation export with all components and versions (25MB+) - **Component-specific exports**: Focused documentation for individual products: - **[https://docs.redpanda.com/streaming-full.txt](https://docs.redpanda.com/streaming-full.txt)**: Redpanda Streaming documentation - **[https://docs.redpanda.com/cloud-data-platform-full.txt](https://docs.redpanda.com/cloud-data-platform-full.txt)**: Redpanda Cloud documentation - **[https://docs.redpanda.com/connect-full.txt](https://docs.redpanda.com/connect-full.txt)**: Redpanda Connect documentation - **[https://docs.redpanda.com/labs-full.txt](https://docs.redpanda.com/labs-full.txt)**: Labs and tutorials ### [](#individual-markdown-pages)Individual Markdown pages **Every HTML page has a markdown equivalent:** 1. **Direct access**: Replace `.html` with `.md` in any URL - Example: `[https://docs.redpanda.com/streaming/current/get-started.html](https://docs.redpanda.com/streaming/current/get-started.html)` → `[https://docs.redpanda.com/streaming/current/get-started.md](https://docs.redpanda.com/streaming/current/get-started.md)` 2. **Content negotiation**: Request any URL with `Accept: text/markdown` header **Markdown features:** - YAML frontmatter with page metadata (title, description, categories, topic type, personas) - Git dates (accurate created/modified dates from commit history) - GitHub-Flavored Markdown format ## [](#overview)Overview Redpanda docs serve both new and experienced users, offering detailed technical resources across Redpanda’s product suite. - **[Redpanda Streaming](https://docs.redpanda.com/streaming.md):** Deploy and manage Redpanda in your environment for ultimate control, high performance, and fault tolerance with Kafka compatibility and advanced enterprise features like Tiered Storage. - **[Redpanda Cloud](https://docs.redpanda.com/cloud-data-platform.md):** Simplify streaming with a fully-managed service: Serverless, Bring Your Own Cloud (BYOC), or Dedicated. Serverless is the fastest and easiest way to start data streaming. Choose BYOC for full data sovereignty. - **[Redpanda Connect](https://docs.redpanda.com/connect.md):** Effortlessly integrate data across systems with hundreds of prebuilt connectors, change data capture (CDC) capabilities, and YAML-configurable workflows. Available as a standalone solution or as part of Redpanda Streaming, Redpanda Connect empowers organizations to build scalable, high-performance data pipelines with minimal complexity. - **[Redpanda Agentic Data Plane](https://docs.redpanda.com/agentic-data-plane/get-started/adp-overview.md):** Enterprise-grade infrastructure for building, deploying, and governing AI agents at scale. Provides Model Context Protocol (MCP) integration, declarative agent configuration, and compliance-grade audit trails for AI agents that need direct access to databases, queues, and business systems. - **[Redpanda Console](https://docs.redpanda.com/streaming/current/console.md):** Streamline operations with an intuitive Kafka UI for managing topics, partitions, and consumer groups, providing visibility and control over your data pipeline. ## [](#core-documentation)Core documentation - [Get started](https://docs.redpanda.com/streaming/current/get-started/quickstarts.md): Fast-track your journey with Redpanda Streaming by deploying a complete example in Docker. - [Redpanda concepts](https://docs.redpanda.com/streaming/current/get-started/architecture.md): Deep-dive into key concepts like Tiered Storage, partitions, replication, and data streaming architecture. ## [](#deployment-guides)Deployment guides - [Redpanda Streaming](https://docs.redpanda.com/streaming/current/deploy.md): Install and configure Redpanda and Redpanda Console in self-hosted environments, including production best practices. Choose from Linux (bare-metal) or Kubernetes deployment instructions. - [Redpanda Cloud](https://docs.redpanda.com/cloud-data-platform/get-started/cluster-types.md): Guides for using Redpanda Cloud across Serverless, BYOC, and Dedicated options. - [Redpanda Connect](https://docs.redpanda.com/connect.md): Standalone documentation for deploying and managing Redpanda Connect, with or without Redpanda. ## [](#redpanda-cli)Redpanda CLI Learn about `rpk`, the comprehensive command-line interface tool for managing Redpanda clusters. - [rpk documentation for Redpanda Streaming](https://docs.redpanda.com/streaming/current/reference/rpk/rpk-commands.md) - [rpk documentation for Redpanda Cloud](https://docs.redpanda.com/cloud-data-platform/reference/rpk/rpk-commands.md) ## [](#redpanda-console)Redpanda Console - [About Redpanda Console](https://docs.redpanda.com/streaming/current/console.md): Learn about Redpanda’s Kafka UI for managing topics, partitions, and consumer groups. - [Configure Redpanda Console](https://docs.redpanda.com/streaming/current/manage/console.md): Learn how to configure Redpanda Console for your needs. ## [](#ai-agents-and-agentic-data-plane)AI agents and Agentic Data Plane Build and deploy production-ready AI agents with enterprise governance and compliance. - [Agentic Data Plane Overview](https://docs.redpanda.com/agentic-data-plane/get-started/adp-overview.md): Enterprise infrastructure for AI agents with built-in governance, observability, and compliance. - [Model Context Protocol (MCP)](https://docs.redpanda.com/agentic-data-plane/connect/mcp-overview.md): Give AI agents direct access to databases, queues, CRMs, and business systems without custom integration code. - [AI Gateway](https://docs.redpanda.com/agentic-data-plane/gateway/overview.md): Centralized gateway for AI agent interactions with intelligent routing, caching, and cost controls. - [Building AI Agents](https://docs.redpanda.com/agentic-data-plane/connect/agents-overview.md): Declarative agent configuration using Redpanda Connect connectors - no custom agent code required. - [Agent Observability](https://docs.redpanda.com/agentic-data-plane/monitor.md): Track agent decisions, costs, and compliance with comprehensive audit trails. ## [](#api-references)API references - [Admin API](https://docs.redpanda.com/api/doc/admin.md): Manage and monitor Redpanda clusters using this REST API, including operations for configuration, partitions, and node health. - [Schema Registry API](https://docs.redpanda.com/api/doc/schema-registry.md): Use Redpanda’s Kafka-compatible schema registry for managing and evolving schemas in your data streams. - [HTTP Proxy API](https://docs.redpanda.com/api/doc/http-proxy.md): Simplify interactions with Kafka topics and partitions with Redpanda’s HTTP Proxy API, enabling easier data production and consumption over HTTP. - [Cloud API](https://docs.redpanda.com/api/doc/cloud-controlplane.md): Access and manage Redpanda Cloud resources programmatically, including provisioning clusters, monitoring usage, and configuring deployments. ## [](#troubleshooting)Troubleshooting - [Troubleshooting guide](https://docs.redpanda.com/streaming/current/troubleshoot.md): Resolve common issues with installation, configuration, and performance. - [Debug bundles](https://docs.redpanda.com/streaming/current/troubleshoot/debug-bundle.md): Generate and analyze debug bundles for diagnosing cluster issues. ---