How to Use These Docs
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
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 offers a specialized infrastructure for AI agents and agentic workflows.
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
└── AI agent infrastructure and workflows
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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:
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Data Platform overview: The streaming foundation
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Self-Managed documentation: Deploy and manage yourself
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Streaming documentation: Broker and Redpanda CLI
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Connect documentation: Data pipelines and integration
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Cloud documentation: Fully managed services
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Agentic Data Plane: AI agent infrastructure
Choose your path
Find the documentation that matches your use case:
I want to deploy Redpanda myself → Self-Managed docs
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Install and manage Redpanda Streaming and Connect on your own infrastructure
I want Redpanda managed for me → Cloud docs
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Fully managed service with Serverless, BYOC, and Dedicated options
I want to integrate data sources/sinks → Connect docs
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Available in both Cloud and Self-Managed deployments
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Hundreds of prebuilt connectors including AI and change data capture (CDC)
I want to build AI agent infrastructure → Agentic Data Plane docs
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Specialized platform for agentic workflows and AI agent orchestration
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
Redpanda follows the llms.txt standard for AI agent discovery:
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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: Every component in one file, using the latest version of each -
Component-specific exports, which are smaller and cheaper to index than the full export:
streaming-full.txt,cloud-data-platform-full.txt,connect-full.txt,agentic-data-plane-full.txt,labs-full.txt, andhome-full.txt
Older product versions are not in these exports. To get an older version, request the individual page instead (replace .html with .md in any URL).
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
Redpanda provides a remote Model Context Protocol (MCP) server 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.
You can add this endpoint to any AI agent that supports MCP.
Authentication
The MCP server uses OAuth. The first time you connect, your client opens a browser to sign in with your Redpanda Cloud account, which is free to create. There’s no token to copy: any client that supports the MCP OAuth flow handles sign-in for you.
You sign in once. Your client renews access in the background, and prompts you again only if you go 30 days without using the server.
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Sign in at docs.redpanda.com in your default browser before you connect. If you don’t have a Redpanda Cloud account yet, create it from that page and finish Cloud onboarding first. Your client opens your default browser for the sign-in step and waits a limited time for the result. If you connect through a |
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What we collect and why. When you sign in, we receive your verified email address (and your organization, when available) from Redpanda Cloud, which we use to track documentation usage and attribute it to your organization. This may be shared with our customer and analytics systems and passed to our documentation search provider (Kapa) for usage attribution. For details, see our Privacy Policy. |
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Claude Code
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Cursor
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VS Code
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ChatGPT Desktop
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Claude Desktop
Run the following command to add the Redpanda MCP server to Claude Code:
claude mcp add --scope user --transport http redpanda https://docs.redpanda.com/mcp
The first time you use the server, Claude Code prompts you to authenticate with your Redpanda Cloud account in the browser.
This adds the server as redpanda over the native HTTP transport, for your user account on any platform (stored in ~/.claude.json).
To verify the installation:
claude mcp list
You should see redpanda: https://docs.redpanda.com/mcp (HTTP): ✓ Connected in the output.
For more information about Claude Code, see the Claude Code documentation.
Add the following to your .cursor/mcp.json file:
{
"mcpServers": {
"redpanda": {
"type": "http",
"url": "https://docs.redpanda.com/mcp"
}
}
}
The first time you use the server, Cursor prompts you to sign in with your Redpanda Cloud account.
For more information about MCP in Cursor, see the Cursor documentation.
Prerequisites: VS Code 1.102+ with GitHub Copilot enabled.
Create an mcp.json file in your workspace .vscode folder:
.vscode/mcp.json{
"servers": {
"redpanda": {
"type": "http",
"url": "https://docs.redpanda.com/mcp"
}
}
}
The first time you use the server, VS Code prompts you to sign in with your Redpanda Cloud account.
To configure globally for all workspaces:
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Open Command Palette (Cmd+Shift+P / Ctrl+Shift+P)
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Run MCP: Open User Configuration
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Add the same JSON configuration
Using MCP in VS Code:
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Open the Chat view (Ctrl+Cmd+I / Ctrl+Alt+I).
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Select Agent mode from the dropdown.
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Click the Tools button to see available MCP tools.
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Ask questions about Redpanda and the AI automatically uses the documentation.
For more details, see the VS Code MCP documentation.
ChatGPT Desktop supports MCP servers in developer mode. To enable:
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Open ChatGPT Desktop.
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Go to Settings > Features.
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Enable Developer mode.
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Navigate to Settings > MCP Servers.
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Click Add Server and enter:
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Name:
redpanda -
Authentication: OAuth
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ChatGPT discovers the OAuth flow automatically and prompts you to sign in with your Redpanda Cloud account.
For more information, see the ChatGPT Desktop MCP documentation.
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):
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Open Claude Desktop.
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Navigate to Settings > Connectors.
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Click Add custom connector.
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Enter the URL:
https://docs.redpanda.com/mcp -
When prompted, sign in with your Redpanda Cloud account. The connector completes the OAuth flow automatically.
| 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:
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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:
{
"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. On first use, mcp-remote opens a browser for you to sign in with your Redpanda Cloud account. Claude Desktop supports only stdio and sse transports, so mcp-remote converts the HTTP endpoint to a compatible format.
Before you restart, sign in at docs.redpanda.com in your default browser. Claude Desktop stops mcp-remote when its startup timeout elapses, so a sign-in that involves creating an account cannot finish in time. See Authentication.
Restart Claude Desktop for changes to take effect.
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).
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For more details, see the Claude Desktop documentation.
Other AI tools
Any tool that supports the MCP OAuth flow can connect using the following URL and will prompt you to sign in with your Redpanda Cloud account on first use:
https://docs.redpanda.com/mcp
| MCP support varies by tool and version. Check the specific tool’s documentation for MCP setup instructions. See Authentication for details on sign-in. |
What you can do
Once connected, you can ask context-aware questions about Redpanda from within your editor:
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"How do I configure Redpanda for production?"
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"What are the instructions for running Redpanda in a local Kind cluster?"
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"What are the best practices for topic partitioning in Redpanda?"
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"What are Redpanda’s security features and authentication methods?"
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"How do I monitor Redpanda cluster performance?"
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"What’s the difference between Redpanda Cloud and self-hosted deployment?"
You can also send feedback to the Redpanda team through your AI client. If you hit a bug, a documentation gap, or anything unclear, tell your assistant something like "send feedback that this page is missing X" and it can submit it for us to review. If you’re signed in, we can follow up with you.
Usage limits
To ensure fair use and performance for all users, the MCP endpoint enforces the following rate limits:
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60 requests per 15 minutes
When you’re signed in, this limit is applied per user. Unauthenticated requests (during the rollout period) are limited per IP address.
As well as this limit, the ask_redpanda_question tool proxies to an MCP server hosted by Kapa.ai, which enforces its own limits. See the Kapa documentation for details.
These limits are suitable for:
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Individual developer IDE usage
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Ad-hoc documentation queries
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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.
HTTP 429 Too Many Requests
RateLimit-Limit: 60
RateLimit-Remaining: 0
RateLimit-Reset: <timestamp>
Troubleshooting
Authentication required (HTTP 401)
If you receive an HTTP 401 response with an authentication_required error:
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Your MCP client should open a browser to sign in with your Redpanda Cloud account. If it doesn’t, check that your client supports the MCP OAuth flow (most recent versions do).
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If you don’t have a Redpanda Cloud account, create a free one.
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If sign-in succeeded previously but you now see
401, your client’s token may have expired. Reconnect or restart the client to trigger a fresh sign-in.
Sign-in opens a browser but the page fails to load
If the browser ends up on a localhost address reporting ERR_CONNECTION_REFUSED, if sign-in keeps opening a new tab without ever finishing, or if the browser shows a Finish connecting button after you sign in, your MCP client stopped listening for the result before you finished in the browser. Clients that connect through a stdio bridge such as mcp-remote are affected: the host stops the bridge when its startup timeout elapses (30 seconds in Claude Code), and the bridge’s browser listener dies with it. The --auth-timeout option of mcp-remote does not extend this window.
To get through it:
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Sign in to docs.redpanda.com in your default browser first, then connect your MCP client. The client’s sign-in step is then a redirect with nothing to click, which finishes in seconds.
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If the browser shows Finish connecting, click it within a minute. If nothing happens, reconnect the server in your client.
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If you run
mcp-remoteunder Claude Code, raise the startup timeout by settingMCP_TIMEOUT=300000in the environment Claude Code runs in, and clear any half-finished state withrm -rf ~/.mcp-authbefore retrying. -
For Claude Code, Cursor, and VS Code, use the HTTP transport shown in the setup section instead of
mcp-remote. Those clients keep listening for as long as the session is open, so the window is not a factor.
If you were creating your Redpanda Cloud account when this happened, no timeout setting is long enough to cover it: signup includes a verification email and Cloud onboarding. Finish creating the account in the browser, then reconnect your client. That sign-in is a redirect with nothing to click, because you’re already signed in to Redpanda Cloud in that browser.
Account setup is not finished
If sign-in fails with access_denied and a message about finishing account setup, your Redpanda Cloud account exists but does not belong to an organization yet. Verifying the address in the Cloud signup email does not create one. Complete the Redpanda Cloud onboarding steps, then reconnect your client. Retrying sign-in before onboarding is finished fails the same way every time.
Work account required (HTTP 403)
Any verified Redpanda Cloud account works by default, including personal email providers. If your organization has opted to restrict access to work email domains and you receive an HTTP 403 with a work_email_required error, sign in with your work account instead.
Server not connecting
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Verify the URL is exactly:
https://docs.redpanda.com/mcp. -
Check your internet connection.
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Ensure your AI tool supports HTTP-based MCP servers.
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Restart your AI tool after adding the configuration.
VS Code specific issues
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Ensure you have VS Code 1.102 or later.
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Verify GitHub Copilot is installed and enabled.
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Try running MCP: Reset Cached Tools from the Command Palette.
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Check the Output panel (View > Output > MCP) for error messages.
Configuration issues
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For Claude Code, Cursor, and VS Code, use the HTTP transport (
--transport httpor"type": "http"). -
For Claude Desktop, use the
mcp-remotebridge shown in the setup section. Claude Desktop does not support direct HTTP transport. -
If you previously configured Claude Code using
mcp-remoteand 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).
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Check that your client’s Accept headers include both
application/jsonandtext/event-stream.
Rate limiting
If you’re building automation or high-volume integrations and hitting rate limits frequently:
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The public endpoint’s rate limits are intentionally restrictive for fair use.
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Consider implementing caching on your side to reduce duplicate queries.
Other issues
Check the MCP GitHub repository for additional troubleshooting guidance, or contact Redpanda support to report a problem with our documentation.
Static markdown exports
For agents without MCP support or for offline processing, use our static markdown exports:
Component-specific exports:
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https://docs.redpanda.com/streaming-full.txt: Redpanda Streaming documentation -
https://docs.redpanda.com/cloud-data-platform-full.txt: Redpanda Cloud documentation -
https://docs.redpanda.com/connect-full.txt: Redpanda Connect documentation -
https://docs.redpanda.com/labs-full.txt: Labs and tutorials
Use cases:
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Offline AI training and model fine-tuning
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Batch processing and analysis
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Full-text search implementations
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Custom documentation tools
Fetch individual pages
Every HTML page in our documentation has a markdown equivalent that you can access programmatically.
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Direct access: Replace
.htmlwith.mdin any URL -
Content negotiation: Request any URL with
Accept: text/markdownheader
Markdown features:
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YAML frontmatter with page metadata (title, description, categories, topic type, personas)
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Git dates (accurate created/modified dates from commit history)
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GitHub-Flavored Markdown format
Use cases:
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API integrations
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Automated documentation pipelines
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Custom documentation workflows
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Integration with internal knowledge bases
Contributing:
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Found a typo or have a suggestion? Open an issue or pull request on GitHub