AI Visibility and Content Intelligence tools for Claude and MCP-compatible agents.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.
💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
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:
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 export is 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:
One command exports both concepts: the page content and the technical
snapshot of what AI crawlers see. Narrow it with --content or
--technical. Both concepts are described in the next section.
For everything else, install the CLI:
Create an API key in the Sleepwalker app, then run your first visibility check:
One command turns any public page into an Open Knowledge Format bundle: 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.
Both concepts ship by default. --content exports only the content concept,
--technical exports only the snapshot.
The content concept is 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 snapshot is 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:
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 in docs/cli.md.
Want to see the shape of the data first? Open docs/responses.md for full example outputs from serialization, prompt suggestions, AI Visibility, Content Intelligence, and report lookup.
okf export. Open source, runs locally, no account needed.okf export also captures the page's technical layer as served, including meta tags, structured data, headers, and robots directives. --technical exports it alone.| Surface | Best for | Entry point |
|---|---|---|
| App | Human review, credits, keys, and full result views | app.sleepwalker.ai |
| API | Scripts, products, scheduled jobs, and reporting workflows | API docs |
| MCP | Claude and other MCP-capable agents | MCP setup |
| CLI | Terminal workflows and automation | CLI docs |
CLI
API
MCP
Ask an MCP-capable client: Check how YourBrand appears across AI search this week.
App
Open app.sleepwalker.ai for the visual workflow, saved results, credits, and keys.
| Path | What it shows |
|---|---|
docs/agents.md | MCP tool catalog and agent workflow walkthrough |
docs/concepts.md | Runs, probes, serialization, scoring, credits |
docs/cli.md | CLI usage, including the free local okf export |
docs/cookbook.md | Runnable workflows, including CI checks |
docs/responses.md | Full example outputs for the main Sleepwalker actions |
mcp/server.json | Remote MCP server manifest |
mcp/tools.json | Public MCP tool catalog, scopes, and credit behavior |
examples/api/curl | One-call examples for public API actions |
examples/api/javascript | Raw fetch plus a zero-dependency client helper |
examples/api/python | urllib examples plus a small client class |
examples/mcp | OAuth and bearer-token setup notes |
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 export is the exception: it runs locally and is always free. Details live in docs/credits.md and the hosted billing docs.
This repository is intentionally small.
| Public here | Private in Sleepwalker |
|---|---|
| CLI, examples, setup notes, short docs | Hosted engine and app source |
| Public API request shapes | MCP server implementation |
| MCP client connection examples | Database schema and billing internals |
| Product-level credit behavior | Provider integrations and routing |
Do not commit real keys. Use environment variables or the CLI key store:
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