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Sleepwalker

Community
AI visibility and content intelligence tools for monitoring and optimizing brand presence in AI search.
How to install ↓ Compare GitHub source repository ↗
Category
Other
Stars
★ 25 Popular
Transport
Streamable HTTP
Runtime
Hosted (no local runtime)
Credentials
API key / credential required
License
MIT
Last commit
Tools
6
56FMRS · C

Sleepwalker is an MCP server focused on AI visibility (GEO) and content intelligence. It allows Claude and other MCP agents to monitor brand presence across multiple AI search platforms and get content improvement recommendations. It offers remote HTTP endpoint, easy to set up, but requires an API key (except the free local OKF export). Suitable for SEO experts, content teams, and AI app developers. Note that API usage may incur costs.

Strongest · Documentation 13/20 Weakest · Reliability 10/20

Reliability
10/20
Security and permissions
10/20
Maintenance
11/20
Documentation
13/20
Setup experience
12/20
Why each score
Reliability 10/20
The repo only publishes mcp/server. and docs; the MCP server implementation is a private remote service (https://mcp.sleepwalker.ai/mcp), so init handshake, tool-list consistency, and real behavior cannot be statically verified. A tools. catalog and CI badge are claimed, but no committed tests covering server key paths are evidenced; the static cap of 12 applies. Deducted for unauditable implementation, no test coverage, and non-diagnosable failure modes.
Security and permissions 10/20
Remote-hosted MCP requiring an API key or OAuth (the README's sw_api_live_... is clearly a placeholder, not a real secret). The credit-based model means tools incur prepaid-cost side effects, yet no explicit confirmation mechanisms or data-flow boundary disclosures are shown. No malware, credential theft, or covert exfiltration red lines observed, so not scored 0-4, but least-privilege scoping and confirmation are incomplete.
Maintenance 11/20
MIT license is explicit; 25 stars, 0 open issues, claimed CI workflow, SECURITY.md, and CONTRIBUTING.md. However the version is only 0.1.1, the repo is intentionally thin (implementation private), and there is no visible release cadence, dependency-update record, or long-term maintenance evidence; issue responsiveness unknown. Deducted accordingly.
Documentation 13/20
README is well layered: quickstart, access-path table, docs/agents.md tool catalog, docs/responses.md example outputs, credits/billing explanation, and cookbook — covering install, auth, cost, and examples. Gaps: concrete MCP tool parameters, limits, and troubleshooting live in external docs (sleepwalker.ai/docs) that cannot be verified statically, and the core implementation is not reviewable.
Setup experience 12/20
Connection is minimal — a single remote URL (https://mcp.sleepwalker.ai/mcp) with no local runtime needed, and examples/mcp covers OAuth and bearer-token setup. Deducted because full client config JSON snippets for mainstream clients are not shown in the supplied material and auth steps require external docs; capped within the static setup limit of 15.

Static review · not runListed 2026-09-08

Read the FMRS scoring method →

Fit and risk

What it can accessUses the network

Best for

  • SEO and GEO teams needing to understand brand presence in AI search.
  • Developers building AI agents or apps that need access to LLM answers and citation data.
  • Content marketers optimizing for AI visibility.

Not for

  • Scenarios requiring deep analysis of data beyond public pages (e.g., private systems).
  • Users wanting fully local operation and storage (except the free OKF export, it relies on hosted services).

Required permissions

  • Requires an API key for authentication (except for the free local OKF export).
  • Network access to send requests to the Sleepwalker API and receive results.
  • For OKF export, permission to read the target webpage.

Risks and side effects

  • Usage may incur costs; actions like visibility checks, content scoring, and serialization consume credits.
  • Dependency on external APIs and hosted services; potential service outages or data privacy concerns.
  • Content sent to the API might include sensitive information; ensure compliance with privacy policies.

Setup

Before you start

Runtime：Hosted (no local runtime)

SLEEPWALKER_API_KEY requiredsecret Sleepwalker API key (format sw_api_live_...), created in the app.sleepwalker.ai dashboard; used for API/CLI authentication.
  1. Optionally install the CLI: run npm install -g @sleepwalkerai/cli.
  2. Create an API key in the Sleepwalker app (app.sleepwalker.ai) and set it via sleepwalker auth key set.
  3. For MCP clients, configure the remote server URL https://mcp.sleepwalker.ai/mcp.
  4. For free OKF export, no account or API key needed; simply run npx -y @sleepwalkerai/cli okf export <URL>.
claude_desktop_config.json 
{
  "mcpServers": {
    "sleepwalker": {
      "url": "https://mcp.sleepwalker.ai/mcp"
    }
  }
}

Shown for Claude Desktop. Other clients may use a different file or key (VS Code uses "servers") — the configurator below converts it.

.vscode/mcp.json
{
  "servers": {
    "sleepwalker": {
      "url": "https://mcp.sleepwalker.ai/mcp"
    }
  }
}

Goes in your project's .vscode/mcp.json (VS Code uses a "servers" key).

Terminal
claude mcp add --transport http sleepwalker https://mcp.sleepwalker.ai/mcp

Run it in a terminal; replace any <…> placeholders with your own values first.

Generate and validate client config

Check that it works

After connecting the client to https://mcp.sleepwalker.ai/mcp, the tools visibility_run, serialize_page, score_content, list_competitors, check_trends, and okf_export should appear in the client's tool list; asking to list competitors confirms the connection works.

Troubleshooting

  1. Check that the API key is valid and not expired.
  2. Ensure the URL is publicly accessible and network connectivity is fine.
  3. Verify target platforms (e.g., Perplexity, OpenAI) are available and check API limits or quotas.
  4. For OKF export, ensure you have the latest CLI version and npx is usable.
  5. Consult Sleepwalker docs or contact support for specific errors.

Things to try

Once connected, you can ask your AI assistant things like:

  • Check how YourBrand appears across AI search this week.
  • List the main competitors for my brand.
  • Check current content trends and opportunities for my site.
  • Score the content at https://yourbrand.com and tell me what to fix first.

Tools 6

visibility_run writes
Run AI search checks across multiple AI platforms (e.g., Perplexity, OpenAI, Grok, Gemini) and capture answers, citations, mention types, and competitor data.
serialize_page writes
Serialize a public page into AI-readable format, including content and technical snapshot (meta tags, structured data, headers, etc.) as seen by AI crawlers.
score_content writes
Evaluate page content depth, freshness, and relevance to demand, returning practical recommendations.
list_competitors read-only
List competitors mentioned in AI search and their performance data.
check_trends read-only
Discover content opportunities and trends to guide content strategy.
okf_export read-only
Free open-source command to export any public page into an Open Knowledge Format markdown bundle with content and technical snapshot.

Use cases

Monitor brand visibility in AI search platforms like ChatGPT, Perplexity, Grok, and Gemini.
Analyze competitor mentions and performance in AI answers.
Audit content for technical SEO friendliness, checking meta tags, structured data, and other elements visible to AI crawlers.
Discover content trends and opportunities for content creation.
Integrate AI search checks into CI/CD workflows.

Supported clients

Claude Desktop
Generic MCP Client

Listed from the project's documentation, not tested by this site.

Overview

Sleepwalker is an AI visibility and content intelligence tool for agents, products, and teams. It provides two connected workflows: AI Visibility — run prompts across ChatGPT, Perplexity, Grok, and Gemini, and capture full answers, citations, competitors, and mention types; Content Intelligence — serialize public pages, discover demand, score content depth and freshness, and return practical recommendations. Accessible via MCP, API, CLI, and App, with results unified in one workspace.

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Source revision ae6b9d01224e Data synced 2026-10-19 Read the FMRS scoring method