Is the Mangools MCP Server stable?

It's currently in beta. The set of available tools and their parameters can change as we iterate based on feedback. We'll communicate breaking changes ahead of time on this page.

Which AI clients does it work with?

Any MCP-compatible client. We've verified it with Claude Desktop, Cursor and Claude Code. Other clients that support remote MCP servers over HTTP should work as well.

Does it consume my Mangools quota?

Yes. Every tool call goes through the regular Mangools API and counts against your plan's request limits, just like a normal API call.

Can my AI accidentally spend paid resources?

A few tools (such as creating SERPWatcher trackings or AI Search Watcher monitors) consume paid quota. They're clearly marked as paid in the tool description, and your AI client should ask you for confirmation before calling them.

BETA

Mangools MCP Server

Connect Claude, Cursor and other AI assistants directly to Mangools SEO data — keyword research, SERP analysis, rank tracking and backlinks, right from your AI chat.

Get your API token Quick start

What is MCP?

MCP (Model Context Protocol) is an open standard that lets AI assistants connect to external data sources.
With the Mangools MCP Server, Claude or Cursor can call Mangools tools as if they were power users.
Ask your AI to research keywords, monitor SERPs or audit backlinks — and let it run the queries through Mangools automatically.

What you can do with it

Keyword research from chat

Ask Claude to find keyword ideas, search volumes and SEO difficulty for your topic — without ever leaving the conversation.

Automated SERP analysis

Let an AI agent monitor SERP results, compare competitors and surface ranking opportunities for the queries you care about.

Rank & backlink monitoring

Track positions in SERPWatcher and audit backlinks in LinkMiner through natural-language prompts and AI-generated reports.

Quick start in 3 steps

Get your API token

Every Mangools user has an API token. Copy yours from the API token page in your account.

Open API token page

Install an MCP client

Any MCP-compatible AI client works. Claude Desktop, Cursor or Claude Code are the most popular options.

Connect Mangools

Paste the server URL and your token into the client’s MCP config — see the snippets below.

See snippets

Configuration

Pick your AI client below, copy the snippet, paste it in.

Server URL https://api.mangools.com/mcp

Replace YOUR_API_TOKEN with your token from the API token page.

Edit ~/Library/Application Support/Claude/claude_desktop_config.json on macOS, or %APPDATA%\Claude\claude_desktop_config.json on Windows. Add this to the mcpServers object:

claude_desktop_config.json

{
  "mcpServers": {
    "mangools": {
      "url": "https://api.mangools.com/mcp",
      "headers": {
        "x-access-token": "YOUR_API_TOKEN"
      }
    }
  }
}

Restart Claude Desktop after saving the file.

In Cursor, open Settings → MCP → Add new MCP server and paste this JSON:

mcp.json

{
  "mcpServers": {
    "mangools": {
      "url": "https://api.mangools.com/mcp",
      "headers": {
        "x-access-token": "YOUR_API_TOKEN"
      }
    }
  }
}

Cursor reloads MCP servers automatically.

Run this one-liner from your terminal:

terminal

claude mcp add --transport http mangools \
  https://api.mangools.com/mcp \
  --header "x-access-token: YOUR_API_TOKEN"

The server is now available in your Claude Code sessions.

In ChatGPT Desktop, open Settings → Connectors → Add MCP server (Developer mode required). Fill in:

ChatGPT MCP connector

Name:       mangools
Transport:  HTTP
URL:        https://api.mangools.com/mcp
Header:     x-access-token: YOUR_API_TOKEN

Enable Developer mode in Settings → About first, otherwise the connector option won’t appear.

In Microsoft Copilot Studio, open your agent and go to Tools → Add a tool → Model Context Protocol. Paste this connector definition:

connector.yaml

name: mangools
transport: streamableHttp
url: https://api.mangools.com/mcp
authentication:
  type: apiKey
  in: header
  name: x-access-token
  value: YOUR_API_TOKEN

Publish your Copilot agent after adding the connector so the new tools become available in conversations.

In n8n, add the MCP Client Tool node to your AI agent workflow and configure it:

MCP Client Tool node

Endpoint URL:       https://api.mangools.com/mcp
Server Transport:   HTTP Streamable
Authentication:     Header Auth
  Header name:      x-access-token
  Header value:     YOUR_API_TOKEN
Tools to include:   All

Connect the MCP Client Tool node to your AI Agent node’s tool input. Works with any chat model — OpenAI, Anthropic, local Ollama, etc.

In Open WebUI, go to Settings → Tools → MCP Servers → Add and paste:

mcp-config.yaml

servers:
  - name: mangools
    transport: http
    url: https://api.mangools.com/mcp
    headers:
      x-access-token: YOUR_API_TOKEN

Restart the Open WebUI container or reload the MCP server list from the same settings page.

Available tools

Around 35 tools across all Mangools products.
Click each product to see what your AI can do.

KWFinder — keyword research

Search related keywords with volume, CPC and SEO difficulty
Get SERP results for any keyword
Find competitor domains for a keyword
Get competitor keywords for a domain
Get keyword suggestions for a URL
Compute SEO difficulty for any URL
Manage keyword lists (create, rename, add keywords)
Batch keyword check (up to 700 keywords per request)
Content gap analysis between domains
View quota usage and history

SERPChecker — SERP analysis

Fetch SERP results for any keyword and location
Get Moz and Majestic URL metrics
List historical SERPChecker requests
Retrieve SERP snapshots over time

SERPWatcher — rank tracking

List all of your trackings
Get tracking detail and stats over time
List tracked keywords and their positions
Create new trackings (single or batch)
Update tracking settings and tracked keywords
Manage reports, annotations and tags

Creating trackings and adding tracked keywords may consume paid quota depending on your plan.

LinkMiner — backlink analysis

Get URL metrics (DA, PA, citation flow, trust flow)
Fetch backlinks for any domain
Manage favorite links
List historical LinkMiner requests and exports

SiteProfiler — website analysis

Get a domain’s overview metrics
Inspect audience and top content
Pull the backlink profile
List a domain’s top competitors
List historical SiteProfiler requests

AI Search Watcher — LLM visibility

List supported AI models and monitors
Get a monitor’s detail, prompts and settings
Generate prompts for a brand or topic
Create new monitors and add prompts
Update monitor settings

Creating monitors consumes paid quota.

Utilities

Search Mangools-supported locations (countries, cities)
Get details for a specific location

Authentication

The MCP server uses the same API token as the Mangools REST API. No separate credentials, no OAuth flow.

Where do I find my token? Open the API token page in your Mangools account — every user has a token enabled by default.

How is it sent? The MCP client adds it to every request as an x-access-token header.

How do I rotate it? Reset your API key on the same page. The old token stops working immediately, so update your MCP client configuration right after.

Treat the token like a password — anyone with access can run Mangools queries on your behalf and consume your quota.

Frequently Asked Questions

Is the Mangools MCP Server stable?: It’s currently in beta. The set of available tools and their parameters can change as we iterate based on feedback. We’ll communicate breaking changes ahead of time on this page.
Which AI clients does it work with?: Any MCP-compatible client. We’ve verified it with Claude Desktop, Cursor and Claude Code. Other clients that support remote MCP servers over HTTP should work as well.
Does it consume my Mangools quota?: Yes. Every tool call goes through the regular Mangools API and counts against your plan’s request limits, just like a normal API call.
Can my AI accidentally spend paid resources?: A few tools (such as creating SERPWatcher trackings or AI Search Watcher monitors) consume paid quota. They’re clearly marked as paid in the tool description, and your AI client should ask you for confirmation before calling them. For maximum control, use a client that requires explicit approval for tool calls.
Is my data sent to OpenAI or Anthropic?: The MCP server only talks to your AI client. Whatever your client passes to the underlying model provider (Anthropic, OpenAI, etc.) is controlled by that client, not by Mangools. Refer to your client’s privacy policy for details.
Can I use the MCP server with my own integrations?: The MCP server is designed for MCP-compatible AI clients. For custom integrations and scripts, use the regular Mangools REST API with the same token.
I see an error in my AI client — what now?: Double-check that the server URL is exact, that the x-access-token header contains a valid token (no quotes, no extra whitespace), and that your client is restarted after the configuration change. If the error persists, contact our support with the client name and the exact error message.

Get your API token