Sleepwalker
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AI Visibility and Content Intelligence for agents, with tools to inspect AI answers, citations, page content, trends, and saved reports.
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- Author
- followanton
- Downloads
- 331
- Categories
- Marketing, AI, Other
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Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
SleepwalkerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
{
"mcpServers": {
"sleepwalker": {
"type": "streamable-http",
"url": "https://mcp.sleepwalker.ai/mcp"
}
}
}
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"sleepwalker": {
"sleepwalker": {
"type": "streamable-http",
"url": "https://mcp.sleepwalker.ai/mcp"
}
}
}
}McpServers
{
"sleepwalker": {
"type": "streamable-http",
"url": "https://mcp.sleepwalker.ai/mcp"
}
}AI Visibility and Content Intelligence for agents, products, and teams.
Run AI-search checks, inspect citations, score content, and save every result in one workspace.
Website·App·Docs·MCP·API·CLI·Cookbook
Sleepwalker helps teams understand how AI systems talk about a brand and what content needs to change. It combines two connected workflows:
- AI Visibility: run prompts across ChatGPT, Perplexity, Grok, and Gemini; capture full answers, citations, competitors, and mention types.
- Content Intelligence: serialize public pages, discover demand, score content depth and freshness, and return practical recommendations.
You can run the same work from the hosted app, the public API, MCP clients, or the CLI. Results stay connected, so a run started by an agent can be reviewed later in the app or queried from code.
This repository is the public developer surface for Sleepwalker: CLI package, API examples, MCP setup notes, and short guides. The hosted engine, app source, database schema, provider integrations, and billing systems are private.
Try the CLI without an account first.okf exportis free and open source. It runs on your machine, fetches a page, and writes an agent-ready markdown bundle to a local folder. No API key, no credits:
npx -y @sleepwalkerai/cli okf export https://www.sleepwalker.ai
One command exports both concepts: the page content and the technical snapshot of what AI crawlers see. Narrow it with--contentor--technical. Both concepts are described in the next section.
npm install -g @sleepwalkerai/cli sleepwalker init
Create an API key in theSleepwalker app, then run your first visibility check:
sleepwalker auth key set sw_api_live_... sleepwalker doctor sleepwalker visibility run https://yourbrand.com \ --brand YourBrand \ --prompt "best ai visibility platform 2026" \ --platform perplexity,openai,grok,gemini \ --watch
The free OKF export: content and technical
One command turns any public page into anOpen Knowledge Formatbundle: a folder of plain markdown files with YAML frontmatter that any AI agent can read directly. OKF is an open format published in Google Cloud's knowledge-catalog repo. The export runs entirely on your machine and is free for everyone: no account, no API key, no credits.
sleepwalker.ai-okf/ ├── index.md navigation and okf_version ├── log.md how and when the bundle was generated ├── home.md the content concept └── home-technical.md the technical snapshot
Both concepts ship by default.--contentexports only the content concept,--technicalexports only the snapshot.
The content conceptis the page as a reader sees it: clean markdown with headings, paragraphs, lists, and links, plus the title, description, canonical URL, and timestamp in the frontmatter. Use it to hand pages to agents, prompts, and retrieval pipelines without HTML noise.
The technical snapshotis the page as an AI crawler sees it. Most AI crawlers do not run JavaScript, so the snapshot reads only the served HTML plus the response itself: the redirect chain and HTML size, curated HTTP headers, the html lang attribute, meta and title tags, canonical, icon and feed links, headings, hreflang, social tags, head scripts, every JSON-LD block, a microdata and RDFa summary, links, images, and the robots directives the page and response carry (meta robots and X-Robots-Tag). Use it to audit what ChatGPT, Claude, Perplexity, and Gemini can actually read on your pages.
One excerpt shows why this matters. A client-side rendered page often exports like this:
## Structured data JSON-LD: none found. AI crawlers get no schema.org data from this page as served.
Everything is reported, nothing is judged: the export quotes what the page serves and leaves conclusions to you. Duplicate titles and canonicals are preserved on purpose, because they are findings. The only network request is the page fetch itself. Flags, caps, and the full section list live indocs/cli.md.
Want to see the shape of the data first? Opendocs/responses.mdfor full example outputs from serialization, prompt suggestions, AI Visibility, Content Intelligence, and report lookup.
- AI search (GEO) monitoring: set up prompt tracking for specific URLs across ChatGPT, Perplexity, Grok, and Gemini.
- Agent workflows: give MCP clients such as Claude access to LLM answers, cited domains, competitor performance, and content trends.
- Product integrations: use the API from internal tools, client portals, reporting pipelines, or automated QA checks.
- Content review: inspect what a page says, which trends it misses, and what to fix first.
- Free page export: turn any public page into agent-ready markdown withokf export. Open source, runs locally, no account needed.
- Free technical snapshot: everyokf exportalso captures the page's technical layer as served, including meta tags, structured data, headers, and robots directives.--technicalexports it alone.
- Custom workflows: combine Sleepwalker with other MCP servers to build your own skills and automations.
sleepwalker visibility run https://yourbrand.com \ --brand YourBrand \ --prompt "best ai visibility platform 2026" \ --platform perplexity,openai,grok,gemini \ --watch
curl -s https://api.sleepwalker.ai/v1/visibility/runs \ -H "Authorization: Bearer $SLEEPWALKER_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "url": "https://yourbrand.com", "target_entity": "YourBrand", "prompts": ["best ai visibility platform 2026"], "platforms": ["perplexity","openai","grok","gemini"] }'
Ask an MCP-capable client:Check how YourBrand appears across AI search this week.
Openapp.sleepwalker.aifor the visual workflow, saved results, credits, and keys.
Sleepwalker is pay as you go. Reads, lists, and status polling are normally unmetered. Actions that run work, such as visibility checks, content scoring, and serialization, use prepaid credits.okf exportis the exception: it runs locally and is always free. Details live indocs/credits.mdand the hostedbilling docs.
Do not commit real keys. Use environment variables or the CLI key store:
export SLEEPWALKER_API_KEY=sw_api_live_...
- Website:sleepwalker.ai
- App:app.sleepwalker.ai
- Docs:sleepwalker.ai/docs
- npm:@sleepwalkerai/cli
- Security policy:SECURITY.md
- Contributing:CONTRIBUTING.md
- License:MIT
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