The API docs ChatGPT, Cursor, and Perplexity pull from
Developers judge your tool by its docs, and they find it through ChatGPT, Perplexity, and coding assistants. Docsio generates structured, always-current API reference with a built-in MCP server and auto llms.txt, so your docs are the cited answer.
No OpenAPI spec requiredWorks from your existing siteCode examples in any language
Returns a paginated list of all users in your organization.
-H "Authorization: Bearer $API_KEY"
The Problem
Why developer docs are always a pain
The bar for developer documentation is high, and meeting it manually is unsustainable.
Writing API docs is mind-numbing
Documenting every endpoint, parameter, and response object by hand takes days. Days your engineers should be spending on the product.
Code examples go stale fast
You refactor an endpoint, update a parameter name, and suddenly every code example in your docs is wrong. Developers notice immediately.
Devs hold documentation to a high standard
Poor API docs kill adoption. Developers evaluate your tool in minutes. Bad docs mean they move on to a competitor.
Devs discover tools through AI now
Your next users ask ChatGPT, Perplexity, or their coding assistant what to use and how to call an API. If AI can't read your docs, it can't recommend you, and it can't help devs integrate you.
The Solution
How Docsio handles developer docs
From initial generation to keeping everything in sync, Docsio handles the documentation so your engineers can focus on the product.
Auto-detect endpoints and generate reference docs
Point Docsio at your API or developer site and it structures your endpoints, parameters, and responses into clean reference documentation automatically.
AI agent writes and updates code examples
The AI agent generates working code samples in multiple languages and updates them automatically when your API changes. No more stale snippets.
MCP + llms.txt make your API AI-readable
Every project ships an auto-generated llms.txt, and Pro adds a built-in MCP server exposing search_docs, get_page, and list_pages. AI coding agents and answer engines pull from your real, current docs, with schema.org and semantic HTML so ChatGPT and Perplexity cite you.
Always in sync with your product
When you ship a new feature or change an endpoint, update your docs in seconds with a plain-English instruction to the AI agent.
Features
Designed for developer tooling
FAQ
Documentation for developer tools: common questions
Can Docsio generate API reference docs without an OpenAPI spec?
Yes. Docsio scrapes your developer site, existing docs, or API explorer pages and structures endpoints, parameters, and response objects into clean reference documentation. If you have an OpenAPI or Swagger spec, you can paste it in and the AI agent uses it as the source of truth. Either path produces a structured API reference.
What happens to code examples when my API changes?
The AI agent updates them. Tell it "renamed user_id to userId across the API" and it walks every code example, fixes the parameter, and updates surrounding prose. No manual hunting through MDX files. Code samples can be generated in multiple languages (curl, JavaScript, Python, Go, Ruby) and stay consistent across the reference.
Does Docsio support custom domains for developer docs?
Yes, free on every plan. Host your docs at docs.yourapi.com, developers.yourcompany.com, or any subdomain. SSL certificates provision automatically. You add a CNAME and Docsio handles the rest. No nginx configs, no certificate renewals, no DevOps tickets.
Is there an MCP server so LLMs can use my docs as a tool?
Yes, on Pro. Every Pro project gets a hosted MCP endpoint at /api/mcp/[projectId] exposing three tools: search_docs, get_page, and list_pages. Your users can connect Claude, Cursor, or any MCP client to query your docs directly. Combined with the auto-generated llms.txt (free on every plan), your developer docs are first-class citizens in AI workflows.
Can I add an AI chat widget for developers asking questions?
Yes, on Pro. The AI chat widget embeds on your docs site and answers questions using only your documentation as context. It cites the pages it pulled from, so developers can verify the answer. Useful for reducing inbound support volume on questions like "how do I authenticate" or "what's the rate limit".
How does this fit with our existing dev workflow?
Two options. One: use Docsio standalone, edit through the AI agent, publish from the dashboard. Two: connect a GitHub repo and Docsio syncs bidirectionally. Edits in the dashboard commit to your repo on publish, pushes to your repo trigger a rebuild. Engineers who prefer docs-as-code keep their workflow, non-technical contributors use the agent.
Will these docs help my tool get recommended by ChatGPT and Perplexity?
That's the goal of Answer Engine Optimization (AEO). Developers increasingly ask AI which tool to use and how to call an API. Docsio publishes AI-readable docs (auto llms.txt, schema.org, semantic HTML, and answer-shaped reference pages) plus a built-in MCP server on Pro so AI coding agents pull from your real, current docs. No one can guarantee rankings, but your docs are built to be crawled, understood, and cited by ChatGPT, Perplexity, and Google's AI Overviews.
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