Analook — Competitor Intelligence MCP Server

Competitor intelligence for AI agents — SEO, traffic, social, Product Hunt, pricing, AI insights.

Local serverstdioPython

What is the Analook — Competitor Intelligence MCP server?

Competitor intelligence for AI agents — SEO, traffic, social, Product Hunt, pricing, AI insights. Exposed over MCP by the analook — competitor intelligence mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.

What it actually does

Analook is available as a Remote MCP server — use it from Claude Desktop, Cursor, or any MCP-compatible client. No install, no local process.

Enter any product URL. In ~30 seconds, Analook runs a 7-module parallel analysis pipeline and returns a structured deep-dive report — growth strategy, traffic signals, social footprint, ProductHunt history, AI insights, and more.

Its toolset

Everything the assistant can do here goes through one of these:

  • Service — Purpose

Configuration

You will need 5 environment variables: YOUR_ANALOOK_TOKEN, TEAMOROUTER_API_KEY, DEEPSEEK_API_KEY, PRODUCTHUNT_TOKEN, APIFY_API_TOKEN. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

When to reach for it

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Analook — Competitor Intelligence's toolset — Service — is a fair guide to whether it matches your workflow. It is maintained by Gingiris-1031; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Analook — Competitor Intelligence's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the analook — competitor intelligence mcp server does with a few real requests.

Available tools

ToolWhat it does
ServicePurpose

How to install the Analook — Competitor Intelligence MCP server

{
  "mcpServers": {
    "analook": {
      "url": "https://www.analook.com/mcp",
      "headers": { "Authorization": "Bearer <YOUR_ANALOOK_TOKEN>" }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
YOUR_ANALOOK_TOKENCredential the server authenticates with.Yes
TEAMOROUTER_API_KEYCredential the server authenticates with.Yes
DEEPSEEK_API_KEYCredential the server authenticates with.Yes
PRODUCTHUNT_TOKENCredential the server authenticates with.Yes
APIFY_API_TOKENCredential the server authenticates with.Yes

Example prompts to try

  • Use Analook — Competitor Intelligence to Service.

Frequently asked questions

It connects Analook — Competitor Intelligence to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Service) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Analook — Competitor Intelligence directly.