AI & Agent Access | Flow AI Docs

These docs are published for machines as well as people, so an AI assistant or coding agent can read them directly instead of scraping the rendered site.

Connect the MCP server

The fastest path for a coding agent. The server has a searchDocs tool that returns passages from these docs with their URLs.

Endpoint: https://ai-docs.hyperflow.fun/_mcp/server (streamable HTTP, no auth)

claude mcp add --transport http flow-ai-docs https://ai-docs.hyperflow.fun/_mcp/server

Once it’s connected, ask the agent things like “how do I stream a chat completion from Flow AI?” and it will search these pages and cite them.

Fetch the docs as text

To pull the content yourself, for a RAG index, an eval or a one-off prompt:

URL	What you get
`/llms.txt`	An index of every page: title, URL and one-line description, following the llmstxt.org spec
`/llms-full.txt`	All the docs as one Markdown document
`<page URL>.md`	That one page as Markdown
`<section URL>/llms.txt`	An index of one section

# All the docs, as one Markdown file
curl -s https://ai-docs.hyperflow.fun/llms-full.txt
# One page
curl -s https://ai-docs.hyperflow.fun/features/tool-calling.md

Every page also has Copy page, View as Markdown and Open in Claude / ChatGPT / Cursor actions in its header.

What an agent should know

Worth putting in your agent’s system prompt when it works from these docs:

Models and prices are live, not literal. Model ids, prices, image sizes and video lengths change as the catalog does. Read them from GET /v1/models or GET /public/models; any value written in these docs shows the shape, not a value to hardcode.
It’s the OpenAI API. Use an OpenAI client with the base URL https://ai.hyperflow.fun/v1. Parameters not listed in the API overview are removed before the request reaches the model.
Keys are secrets. Read the key from an environment variable such as HYPERFLOW_API_KEY; never write it into code.

Ask a question

For anything the docs don’t answer, Discord is the fastest route to a person.