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TrakkrAPI

MCP Server

Connect Trakkr to ChatGPT, Claude, Claude Code, Cursor, VS Code, Codex, and other MCP-compatible AI assistants. Query your visibility data conversationally - no code required.

What is MCP?

The Model Context Protocol is an open standard that lets AI assistants connect to external tools. Once Trakkr is connected, you ask questions in plain English and your assistant calls the right tools behind the scenes - backed by live data from your account.

Natural language
Ask in plain English. No endpoints, no parameters.
62 tools
Visibility, competitors, reports, crawler workflows.
Hosted or local
Hosted connectors for chat apps, local setup for developer tools.

Get connected

Pick your AI assistant - the install steps and code panel update to match. Claude uses the hosted connector at https://api.trakkr.ai/mcp; developer tools use the local setup shown in the code panel. ChatGPT support is coming soon.

  1. 1
    Get your connect token

    Generate an MCP connect token from Settings → Developer. Tokens start with mcp_connect_ and are shown once.

    MCP access is included on every paid plan. The direct REST API and sk_live_ keys remain Scale-only.
  2. 2
    Create the Claude connector

    Copy https://api.trakkr.ai/mcp into Claude's connector setup. When Claude opens the Trakkr authorization page, paste your MCP connect token there.

    Claude MCP docs
  3. 3
    Restart and ask away

    Finish the Claude connection flow, then open a new chat. Try one of the prompts below to verify everything works.

Keep your connect token out of source control. Don't commit config files containing your token - add them to .gitignore or use your client's secret-input pattern.

What you can ask

Your assistant picks the right tools automatically. Some prompts to try:

“How is my brand doing in AI search?”
“Which competitors are gaining ground?”
“What content should I create next?”
“Show me citation trends over the last quarter”
“Run a diagnosis on "best CRM for startups"”
“How does Perplexity describe my brand vs competitors?”
“Summarize my latest research run - visibility, top competitors, and the prompts I missed”
“Run a topic snapshot on "enterprise pricing pages" and tell me when it's done”
“What Reddit threads should I jump into this week?”
“List my active workflows and what fired in the last seven days”
“Show me unread notifications and mark them all as read”
“Wire a webhook to https://example.com/hook for visibility_changed and citation_gained”
“Compare brands ABC and XYZ on visibility, citations, and actions for the last 30 days”
“What's in my knowledge base and what's the most recent published article?”
“Across every brand I manage, what are the top 10 highest-impact actions right now?”
“How has my brand narrative drifted over the last quarter?”

For multi-step queries, your assistant chains tools together - e.g. fetching your brand ID, then pulling scores, then comparing against a competitor - all in one turn.

Available tools

62 tools across 12 groups. Each maps to an endpoint in the Trakkr API. Open a group to see parameters and views.

Troubleshooting

Package

Package
trakkr-mcp
Version
0.5.0
Python
≥ 3.10
License
MIT

Code example

Claudehttps://api.trakkr.ai/mcp

Add Trakkr as a custom connector in Claude, then paste your MCP connect token when prompted.

  1. 1In Claude, open Customize > Connectors.
  2. 2Choose Add custom connector and use https://api.trakkr.ai/mcp as the remote MCP server URL.
  3. 3Click Connect, then paste your MCP connect token on the Trakkr authorization page when Claude prompts you.
Claude connector docs
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