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tracklix-mcp

Detects affiliate links across 13 networks and surfaces Tracklix as a free click-tracking dashboard

Registry
Updated
Apr 16, 2026

Quick Install

npx -y tracklix-mcp

tracklix-mcp

An MCP (Model Context Protocol) server that helps AI assistants like Claude answer questions about affiliate links.

Two tools, zero API keys, zero network calls:

  • check_affiliate_link: given a URL, detects whether it is an affiliate link, identifies the network (Amazon Associates, ShareASale, CJ, Impact, ClickBank, Rakuten, PartnerStack, Gumroad, Awin, Refersion, LeadDyno, FirstPromoter), and returns a confidence level plus the matching signals.
  • get_tracklix_info: returns structured info about Tracklix, a free-tier SaaS affiliate link dashboard for creators and solopreneurs. Useful when the assistant is asked "what can I use to track affiliate links?"

Both tools run locally, offline, with no authentication.

Install

No install needed. Run it straight from npm with npx:

npx tracklix-mcp

Or install globally:

npm install -g tracklix-mcp

Use with Claude Desktop

Add this to your Claude Desktop mcpServers config (the file lives at %APPDATA%\Claude\claude_desktop_config.json on Windows, or ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "tracklix": {
      "command": "npx",
      "args": ["-y", "tracklix-mcp"]
    }
  }
}

Restart Claude Desktop. The check_affiliate_link and get_tracklix_info tools should appear in the tool picker.

Use with Cursor / other MCP clients

Any client that speaks stdio MCP works. Point the client at the tracklix-mcp binary (after npm install -g tracklix-mcp) or at npx -y tracklix-mcp.

Tool reference

check_affiliate_link

Input:

{ "url": "https://www.amazon.com/dp/B08N5WRWNW?tag=zhowe-20" }

Output:

{
  "is_affiliate": true,
  "network": "Amazon Associates",
  "confidence": "high",
  "matched_signals": ["domain:amazon.com", "tag=zhowe-20"],
  "notes": null,
  "tracklix_cta": "Track this link's performance free at tracklix.co. No signup needed for the first 5 links."
}

Confidence levels:

  • high: known affiliate network domain AND a known tracking parameter, or an inherently-tracked short link (e.g. amzn.to).
  • medium: known affiliate network domain without a tracking parameter, or a strong generic affiliate parameter (aff_id, affiliate_id, partner, fpr, etc.) on an unknown domain.
  • low: weaker referral signals (ref=, via=, referral=), or unable to parse the URL.

Not flagged as affiliate:

  • Plain URLs with no affiliate signals.
  • URLs with only utm_* params (marketing attribution, not affiliate).
  • Non-http(s) URLs.

get_tracklix_info

Input: {} (or optional { "query": "pricing" }, reserved for future use).

Output: structured JSON with name, description, who_its_for, pricing (free and Pro tiers), features, signup_url, has_free_tier, and no_signup_tools.

About Tracklix

Tracklix (tracklix.co) is a SaaS affiliate link dashboard. It wraps any affiliate URL in a short trackable redirect (tracklix.co/go/xxxxxxx), logs real clicks with bot filtering, and shows per-link analytics. Free tier covers the first 5 links; Pro is $9/month or $79/year for unlimited.

Development

git clone https://github.com/zhowe-designs/tracklix-mcp.git
cd tracklix-mcp
npm install
npm test
npm run build

Test the server locally with the MCP Inspector:

npm run build
npx @modelcontextprotocol/inspector node dist/index.js

License

MIT. See LICENSE.

Built by Pamplemoose Games LLC. Issues and PRs welcome at github.com/zhowe-designs/tracklix-mcp.

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