Best for
- Indie hackers who want competitor intelligence callable directly by an agent
- Growth teams benchmarking against competitors
- Investors doing quick pre-DD intelligence gathering
- Founders preparing a launch in a crowded market
A
Analook MCP Server
Community
Understand any competitor in 30 seconds — competitor intelligence for AI agents
GitHub source repository ↗
55FMRS · C
Analook is the MCP surface of analook.com, exposing 5 tools over remote streamable-http for MCP clients and producing competitor teardowns from public data sources plus LLMs. It suits indie hackers, growth teams, and investors who need fast competitor intelligence; it is not a fit for teams requiring offline self-hosting or sensitive about data leaving to third-party services. An access token is required, and report conclusions should be reviewed by a human.
Analook is a remote MCP server that powers the analook.com backend, bringing competitor intelligence to AI agents: SEO, traffic, social, Product Hunt, pricing, and AI insights. Built on FastAPI + Supabase, it runs a 7-module parallel analysis pipeline that turns any product URL into a structured competitor teardown report. Any MCP-compatible client can connect over streamable-http at https://www.analook.com/mcp/ with no local install.
Tools
analyze_competitor
Submit a competitor URL to start an analysis and generate a structured competitor teardown report.
get_report_status
Check the current processing status of an analysis job.
get_report
Retrieve the completed analysis report as structured data.
get_report_markdown
Retrieve the completed analysis report in Markdown format.
list_my_reports
List previously generated reports for the current account.
Setup
- Obtain an Analook access token (see https://www.analook.com/docs/mcp.html for token instructions).
- Add the remote server to your MCP client config:
{
"mcpServers": {
"analook": {
"url": "https://www.analook.com/mcp",
"headers": { "Authorization": "Bearer <YOUR_ANALOOK_TOKEN>" }
}
}
}- Save the config and restart your client.
- This is a remote server — no local install or process is required.
claude_desktop_config.json
{
"mcpServers": {
"analook": {
"url": "https://www.analook.com/mcp",
"headers": { "Authorization": "Bearer <YOUR_ANALOOK_TOKEN>" }
}
}
}
Fit and risk
Not for
- Teams requiring fully offline or self-hosted deployment with no data sent to third-party services
- Self-hosted setups that cannot supply third-party API keys (such as DataForSEO, Apify, Product Hunt, and LLM providers)
- Users expecting non-public internal data (this tool works from public signals only)
- Clients that only support local stdio MCP processes and not remote HTTP MCP
Required permissions
- Requires a valid Analook access token (Bearer token) for remote MCP authentication
- Analysis depends on third-party data-source API keys (DataForSEO, Apify, Product Hunt, TeamoRouter, DeepSeek)
- Server-side use of Supabase for auth, credits, and report storage
Risks and side effects
- Reports are generated by third-party LLM and data services and may contain inaccurate or outdated information; verify key conclusions manually
- Results are inferred from public signals, and business-model or revenue estimates are ranges and hypotheses only
- Requests are sent to the remote service https://www.analook.com/mcp/, so data-transfer and compliance requirements should be assessed
- A leaked token may allow others to consume your account credits
- The repository declares no license metadata (the README states MIT); confirm authorization before commercial use
Troubleshooting
- Connection fails: confirm the client uses streamable-http and the URL is https://www.analook.com/mcp/
- Unauthorized responses: check that the Bearer token in the Authorization header is valid and unexpired
- Report stays in progress: use get_report_status to check the job, then retry or start a new analysis
- Empty report: confirm the job is complete before calling get_report or get_report_markdown
- Self-hosted analysis fails: verify all third-party service keys are set in .env
Use cases
Validate a market and competitive landscape before building
Generate traffic, SEO, and social benchmarks against competitors for growth teams
Collect quick competitor intelligence during pre-DD for investors
Find differentiated angles for a launch in a crowded niche
Supported clients
Claude DesktopFull support
CursorFull support