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Documentation Index

Fetch the complete documentation index at: https://akua-1dce587a.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

Agents operating on Akua need context: how products work, what API endpoints are available, how to configure deployments. The documentation MCP server gives them real-time access to the full Akua docs, with no authentication required. 
https://docs.akua.dev/mcp
This is the documentation MCP server for searching docs. For the platform MCP server that manages Akua resources, see Platform MCP.

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What it does

  • Real-time search: AI tools query Akua documentation as you chat, returning up-to-date answers
  • Zero configuration: no API keys, no OAuth, no auth at all
  • Any MCP client: works with Claude, Cursor, VS Code, and any tool that supports MCP

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Try it

Once connected (setup instructions), ask your AI assistant:
Example prompts
How do I create a new product in Akua?
What's the difference between managed and imported clusters?
How do I set up pricing for my products?
The MCP server returns real-time data from the latest documentation. No stale training data.

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Other ways AI tools access docs

Beyond the MCP server, Akua provides multiple channels for AI tools:

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Contextual menu

Every documentation page includes a contextual menu with quick actions:
  • Copy page: copy content as Markdown for pasting into AI tools
  • View as Markdown: open the page in raw Markdown format
  • Open in AI tools: start a conversation in ChatGPT, Claude, or Perplexity with page context
  • Connect to editors: one-click MCP setup for Cursor or VS Code

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LLMs.txt files

Industry-standard files for AI indexing:
  • llms.txt: all pages with descriptions for quick reference
  • llms-full.txt: complete documentation in one file

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Markdown access

Append .md to any URL for AI-friendly Markdown output: 
https://docs.akua.dev/ai/docs-mcp.md

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Troubleshooting

  • Verify URL: https://docs.akua.dev/mcp
  • Check internet connection
  • Ensure your AI tool supports the MCP protocol
  • Try the contextual menu on any doc page for automatic setup
  • Check JSON syntax in config files
  • Verify file permissions and correct file location
  • Restart your AI application after config changes
  • The MCP server always returns real-time data
  • Restart the MCP connection in your tool
  • Clear cached responses in your AI app

AI & Agents overview

Setup instructions and all AI integration options.

Platform MCP

Manage infrastructure and deployments through AI agents.

Hosted agents

The embedded dashboard agent and ambient agent configuration.

Code Mode in action

See agents composing complex multi-step operations.