---
title: "AI & Agent Access — Search, llms.txt & MCP"
url: https://www.suger.io/resources/ai/
type: Resource
description: "How AI assistants and agents use suger.io: full-text search, llms.txt, per-page Markdown, and a Model Context Protocol (MCP) server for cloud GTM."
---

# AI & Agent Access — Search, llms.txt & MCP

For AI & agents

# AI & Agent Access

Suger is built to be read by machines as well as people. Assistants, answer engines, and autonomous agents can search the site, read any page as clean Markdown, and call live tools over the Model Context Protocol (MCP).

## Search

Every page has instant full-text search. Press ⌘K (or Ctrl K) anywhere, or use the [dedicated search page](/search). It runs client-side on a prebuilt index — no query is sent to a server.

## Machine-readable content

Clean, presentation-free content for grounding assistants:

[/llms.txt Curated index of the site's key pages with one-line descriptions.](/llms.txt) [/llms-full.txt The full text corpus of the site in one file, always current.](/llms-full.txt) [/<path>/index.md Any page as clean Markdown — append `/index.md` to its URL.](/platform/cosell/index.md) [/search-index.json The prebuilt MiniSearch index powering on-site and MCP search.](/search-index.json)

## Model Context Protocol (MCP)

Connect any MCP client (Claude Desktop, Cursor, IDE agents) to call two read-only tools: `search` and `fetch_page`.

### Hosted endpoint (no install)

Streamable HTTP at `https://www.suger.io/mcp`. Add to your client config:

```
{
  "mcpServers": {
    "suger": { "url": "https://www.suger.io/mcp" }
  }
}
```

### Standalone package (offline / no hosted dependency)

Runs locally over stdio and works against the published content:

```
{
  "mcpServers": {
    "suger": {
      "command": "npx",
      "args": ["-y", "suger-website-mcp"]
    }
  }
}
```

Discovery manifest: [/.well-known/mcp.json](/.well-known/mcp.json).

## FAQ

What can the Suger MCP server do?

It exposes two read-only tools: search (find pages by keyword) and fetch\_page (read a page as clean Markdown). Both cover cloud marketplace GTM, co-sell, private offers, agreements, and billing content on suger.io.

Do I need an API key?

No. Everything here is public and read-only. The hosted endpoint and the standalone package both work without authentication.

How do I read a single page as Markdown?

Append /index.md to any page URL. For example, https://www.suger.io/platform/cosell/index.md returns the clean Markdown of the Co-Sell page.

Is the content kept up to date?

Yes. The search index, per-page Markdown, and llms-full.txt are regenerated automatically on every site build, so they always match the live pages.