Data · Remote MCP server

Trakkr

AI visibility analytics for brands across citations, prompts, competitors, research, and reports.

Visit Trakkr's website

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.macklpgr/trakkr-mcp
Version
0.22.0
Status
Active
Category
data
Transport
Streamable HTTP, stdio (local process)
Package
PyPI
Published
2026-09-15
Updated
2026-09-15
Publisher
macklpgr (GitHub)
Namespace
Namespace verified by the MCP Registry via GitHub (github.com/macklpgr) · how
Website
trakkr.ai/learn/api/mcp
Source
Registry API entry

Remote endpoints

TransportURLHeaders declared
Streamable HTTPhttps://api.trakkr.ai/mcpNone

Live check

This directory connected to each remote endpoint and asked for its list of tools. The check connects and lists tools only; it doesn't run tools, sign in or test security.

Reachable
Yes (HTTP 401)
Handshake
Not completed: sign-in required
Sign-in required
Yes - HTTP 401; OAuth advertised (the answer points to its authorization metadata)
Checked on
2026-10-05

How the live check works

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxtrakkr-mcp0.22.0stdioTRAKKR_API_KEY (secret)

How to connect Trakkr

Trakkr is a remote MCP server: there is nothing to install. Its endpoint is https://api.trakkr.ai/mcp, served over Streamable HTTP. In an assistant that accepts remote MCP servers (often under a setting named connectors, integrations or tools), add a new server and give it this URL; in a client configured by file, add it as a remote (HTTP) server with the same URL.

No headers are declared in the registry entry. If the server needs you to sign in, a client that supports MCP authorization opens the service's own sign-in page when it first connects.

It can also run locally from a Python package published to PyPI: trakkr-mcp version 0.22.0. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install - the usual command is uvx trakkr-mcp. It reads the environment variable TRAKKR_API_KEY (secret); set it in the client's configuration for this server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "trakkr-mcp": {
      "command": "uvx",
      "args": [
        "trakkr-mcp"
      ],
      "env": {
        "TRAKKR_API_KEY": "<secret>"
      }
    }
  }
}

Derived from the registry entry; the live check above only shows whether the endpoint answered. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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