Docs MCP
Let Claude, Cursor, VS Code or any MCP client search and read these docs. Free, no API key.
The Docs MCP server gives your AI tool these docs: every field guide, concept, pattern and reference page. Your assistant answers from Skylit's own documentation instead of from memory.
| Endpoint | https://www.skylit.ai/docs/mcp |
| Auth | None |
| Tools | search_docs, get_page, list_pages |
Connect it
claude mcp add --transport http skylit-docs https://www.skylit.ai/docs/mcpIn Settings → Connectors → Add custom connector, paste the endpoint:
https://www.skylit.ai/docs/mcp
No authentication is needed. (Custom connectors require a Claude plan that supports them.)
Open any docs page, choose the menu next to Copy page, then Add docs to
Cursor. Or add it to ~/.cursor/mcp.json (global) or .cursor/mcp.json in a
project:
{
"mcpServers": {
"skylit-docs": {
"url": "https://www.skylit.ai/docs/mcp"
}
}
}Open any docs page, choose the menu next to Copy page, then Add docs to
VS Code. It installs a server named skylit-docs of type http with the
endpoint above.
What it can do
| Tool | What it does |
|---|---|
search_docs | Finds the best-matching sections for a query, with a snippet and a link to each. Optionally limited to one area (Platform, Heatseeker, Flowseeker, Atlas, Nexus, Tempest, Talon or Developers). |
get_page | Returns one page as Markdown, from a search result's path or URL. |
list_pages | Lists every page with a one-line summary (the same index as llms.txt). |
Once connected, ask your assistant something like "Using the Skylit docs, what is a King Node?" and it searches the docs and links the pages it used.
Other ways to read the docs
- Every page is available as Markdown: add
.mdto its URL. - llms.txt indexes every page, and llms-full.txt has them all in one file.
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