AccuRanker MCP Server and API by Cotlet
RemoteAbout AccuRanker MCP Server and API by Cotlet
Cotlet's AccuRanker MCP server connects an AI agent to a signed-in AccuRanker account for keyword and ranking tasks. It supports hosted HTTP access as well as a local stdio server that forwards calls to Cotlet.dev.
Key features
- 01Add and tag tracked keywords
- 02List keywords with current ranks
- 03Check ranking changes over time
- 04Run a local stdio MCP server
- 05Connect through a hosted MCP endpoint
Use cases
- 01Add keywords for a domain and target location
- 02Find keywords with significant ranking drops
- 03Review rank changes over a chosen period
MCP support
Provides hosted MCP access at https://cotlet.dev/mcp/v1 and a local stdio server. The local server forwards tool calls to Cotlet.dev, and uses COTLET_API_KEY for access.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://cotlet.dev/mcp/v1/accuranker/connectclaude mcp add --transport http dev-cotlet-accuranker https://cotlet.dev/mcp/v1/accuranker/connect{"mcpServers":{"dev-cotlet-accuranker":{"type":"http","url":"https://cotlet.dev/mcp/v1/accuranker/connect"}}}Open in Cursor{"servers":{"dev-cotlet-accuranker":{"type":"http","url":"https://cotlet.dev/mcp/v1/accuranker/connect"}}}Open in VS Code{"mcpServers":{"dev-cotlet-accuranker":{"type":"http","url":"https://cotlet.dev/mcp/v1/accuranker/connect"}}}{"mcpServers":{"dev-cotlet-accuranker":{"serverUrl":"https://cotlet.dev/mcp/v1/accuranker/connect"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://cotlet.dev/mcp/v1/accuranker/connecthttps://cotlet.dev/mcp/v1/accurankerAuth requiredTools
Details
From the project READMEHow to connect AccuRanker to Claude Code, ChatGPT and any AI agent
Yes, Claude, ChatGPT and other AI agents can work in your AccuRanker account. AccuRanker has its own ChatGPT app and documents a custom MCP connector for Claude. Cotlet.dev connects your own signed-in AccuRanker account to any AI agent, so you can ask in plain words and the AI adds keywords and lists your ranks for you.
What you can ask
Add these 20 keywords to my acmeplumbing.com domain and track them in Google US on desktop and mobile.
List all keywords for bluebottlebakery.com with their current rank and the change over the last 7 days.
Which of my keywords dropped more than 5 positions since Monday? Show the page that ranks for each.
Add "emergency plumber denver", "water heater repair denver" and "drain cleaning denver" and tag them "Denver services".
Show my 10 keywords with the highest search volume that rank between position 11 and 20.
Connect in 2 minutes
Get your API key at https://cotlet.dev/app and export it as COTLET_API_KEY.
Claude Code
claude mcp add --transport http cotlet https://cotlet.dev/mcp/v1 --header "Authorization: Bearer $COTLET_API_KEY"
ChatGPT
Settings → Apps → add connector URL https://cotlet.dev/mcp/v1, then sign in with Cotlet.dev. No API key needed.
Cursor
Copy .cursor/mcp.json from this repo into your project:
{
"mcpServers": {
"cotlet": {
"url": "https://cotlet.dev/mcp/v1",
"headers": {
"Authorization": "Bearer ${COTLET_API_KEY}"
}
}
}
}
Run it locally (stdio)
This repo is a real MCP server. It speaks MCP over stdio, lists its AccuRanker tools without any key, and forwards every tool call to the hosted Cotlet.dev server. The hosted URL above stays the recommended way. Use this when your client only starts local servers.
{"mcpServers":{"accuranker":{"command":"uvx","args":["accuranker-mcp"],"env":{"COTLET_API_KEY":"your-key"}}}}
Or with Docker:
docker build -t accuranker-mcp .
docker run -i --rm -e COTLET_API_KEY accuranker-mcp
Tools: accuranker_guide, accuranker_status, accuranker_open, accuranker_read, accuranker_click, accuranker_type, accuranker_close. Without COTLET_API_KEY a tool call answers: "Set COTLET_API_KEY. Get a key at https://cotlet.dev/app".
Command line
Python 3.10+, nothing else to install. From PyPI:
pip install accuranker-mcp # or run it once: uvx accuranker-mcp connect
accuranker-mcp connect
Or straight from this repo:
export COTLET_API_KEY="your-key"
python3 accuranker_agent.py connect # ready config for Claude Code, Cursor, ChatGPT
python3 accuranker_agent.py status # is AccuRanker ready in your Cotlet.dev account
python3 accuranker_agent.py guide # AccuRanker screens and sign-in link
python3 accuranker_agent.py read # open AccuRanker, read the page, close the browser
python3 accuranker_agent.py tools # list Cotlet.dev tools
python3 accuranker_agent.py serve # start the stdio MCP server (same as no argument)
Questions from AccuRanker users
Does AccuRanker have an API?
AccuRanker has an official API and an official MCP server (checked 23 Oct 2026). The Read API and Write API (both v4) come with API access at no additional cost, but need a developer and an API token. Cotlet.dev works in your own signed-in AccuRanker account, so your AI agent can add keywords and check your rankings with no API key and no code.
How do I connect AccuRanker to ChatGPT?
Add Cotlet.dev as an app in ChatGPT (Settings → Apps, connector URL https://cotlet.dev/mcp/v1), sign in to AccuRanker once in your Cotlet.dev Cloud Browser, and ask ChatGPT in plain words. No code and no AccuRanker API key.
Is there a way to use Claude with AccuRanker?
Yes. In Claude Code run the one-line claude mcp add command above; in the Claude app add https://cotlet.dev/mcp/v1 as a custom connector. Claude then works in your own AccuRanker account.
Is there an AccuRanker MCP server?
Yes, AccuRanker documents its own MCP connector for Claude. Cotlet.dev is also a hosted MCP server that works in your AccuRanker account for you, 24/7, with Claude, ChatGPT, Cursor, Codex, n8n, Make and Zapier.
What is AccuRanker Search Intelligence?
AccuRanker Search Intelligence is AccuRanker's official app in the ChatGPT Plugin directory. Cotlet.dev is another way in: one connector, https://cotlet.dev/mcp/v1, that works in your own AccuRanker account from ChatGPT, Claude and any other AI agent.
Find it on
Also works with
- Mangomint MCP
- Wanderlog MCP
- SmugMug MCP
- Garmin Connect MCP
- Housecall Pro MCP
- Medium MCP
- Crexi MCP
- DistroKid MCP
- LinkedIn MCP
- EstimateOne MCP
- Google Search Console MCP
- Lichess MCP
- Strava MCP
- StreamElements MCP
- Meetup MCP
- GetYourGuide MCP
- Idealista MCP
- Riverside MCP
- Udemy MCP
- Faire MCP
- Buildertrend MCP
- All apps connected through Cotlet.dev
Start free: https://cotlet.dev/signup?app=accuranker&utm_source=github&utm_medium=readme&utm_campaign=accuranker
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.