Local Seo Data

by localseodata

2 stars
345 downloads
Not rated
GitHub

About

MCP server for Local SEO Data. Gives AI assistants access to 42 local SEO tools.

Details

Author
localseodata
GitHub stars
2
Downloads
345
Categories
Search

- 42 built-in local SEO tools (SERP, reviews, keywords, etc.)
- SERP tracking for local pack and organic results
- Review monitoring across Google and multiple platforms
- AI visibility scoring and mentions analysis
- Geogrid scans for local map ranking heatmaps
- Full local SEO, citation, and reputation audits

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Local Seo Data
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Sign up at localseodata.com, create an API key (starts with sk_live_), then add the server to your MCP client using the URL https://mcp.localseodata.com/mcp?key=YOUR_API_KEY. Supported clients include Claude Code, Claude Desktop, Cursor, VS Code (GitHub Copilot), Cline, and Windsurf. After configuration, you can ask natural language queries like “Who ranks in the local pack for ‘plumber’ in Denver?”

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "local seo data": {
            "localseodata": {
                "url": "https://mcp.localseodata.com/mcp?key=YOUR_API_KEY"
            }
        }
    }
}

McpServers

{
    "localseodata": {
        "url": "https://mcp.localseodata.com/mcp?key=YOUR_API_KEY"
    }
}

Local SEO Data MCP Server

Model Context Protocol server for Local SEO Data. Gives AI assistants access to 42 local SEO tools -- SERP tracking, review monitoring, keyword research, AI visibility scoring, geogrid scans, and more.

One-time setup, then ask questions in plain English and your assistant calls the right endpoints automatically.

Prerequisites

1. Sign up at localseodata.com/signup
2. Create an API key in your API Keys dashboard
3. Replace YOUR_API_KEY below with your key (starts with sk_live_)

Setup

Claude Code

claude mcp add localseodata --transport http "https://mcp.localseodata.com/mcp?key=YOUR_API_KEY" --scope user

The --scope user flag makes it available across all your projects. Restart Claude Code after adding.

Claude Desktop

Add to your config file:
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "localseodata": {
      "url": "https://mcp.localseodata.com/mcp?key=YOUR_API_KEY"
    }
  }
}

Restart Claude Desktop after saving.

Cursor

Add to .cursor/mcp.json in your project root, or ~/.cursor/mcp.json for global access:

{
  "mcpServers": {
    "localseodata": {
      "url": "https://mcp.localseodata.com/mcp?key=YOUR_API_KEY"
    }
  }
}

VS Code (GitHub Copilot)

Add to .vscode/mcp.json in your project:

{
  "servers": {
    "localseodata": {
      "type": "streamable-http",
      "url": "https://mcp.localseodata.com/mcp?key=YOUR_API_KEY"
    }
  }
}

Cline

Open Cline settings > MCP Servers > Add Remote Server:
- Name: localseodata
- URL: https://mcp.localseodata.com/mcp?key=YOUR_API_KEY

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "localseodata": {
      "serverUrl": "https://mcp.localseodata.com/mcp?key=YOUR_API_KEY"
    }
  }
}

Available Tools

| Category | Tools |
|----------|-------|
| SERP Data | local_pack, organic_serp, local_finder, maps, local_services_ads |
| AI/LLM Optimization | ai_overview, ai_mode, ai_mentions, ai_visibility, ai_compare, ai_keyword_data, ai_top_sources, ai_top_pages |
| Business Data | business_profile, google_reviews, qa, business_listings, multi_platform_reviews |
| Keyword Research | search_volume, keyword_suggestions, keywords_for_site, related_keywords, keyword_trends |
| Audits | local_audit, citation_audit, reputation_audit, page_audit, profile_health |
| Competitive Intel | competitor_gap, competitor_ads, brand_mentions, backlink_gap, backlink_summary |
| Reports | review_velocity, local_authority, keyword_opportunities |
| Geogrid | geogrid_scan |
| Locations | location_search |
| Utility | ping, get_balance |

Example Prompts

Once connected, just ask naturally:

- "Who ranks in the local pack for 'plumber' in Denver?"
- "Run a full local SEO audit for Mike's Plumbing in Austin, TX"
- "Compare my Google reviews to my top 3 competitors"
- "What keywords should a dentist in Portland be targeting?"
- "Check if my business NAP is consistent across directories"
- "Map my rankings on a 5x5 geogrid for 'bakery' in Brooklyn"
- "What's my AI visibility score for 'best pizza in Chicago'?"

Authentication

Your API key is passed as a URL query parameter (?key=YOUR_API_KEY). This works with every MCP client without needing custom header configuration. Keys can be created or revoked anytime in the API Keys dashboard.

Pricing

MCP calls consume credits from your Local SEO Data account, same as REST API calls. Most endpoints cost 1 credit ($0.005). Monitor usage in your dashboard.

See localseodata.com/pricing for plans.

Self-Hosting

If you want to run the MCP server yourself:

git clone https://github.com/localseodata/mcp-server.git
cd mcp-server
npm install
npm run build

Set the required environment variable and start:

export API_BASE_URL=https://api.localseodata.com
npm start

The server runs on port 3003 by default (set PORT to change). A Dockerfile is included for container deployments.

Development

npm run dev       # Watch mode with hot reload
npm run build     # Compile TypeScript
npm run typecheck # Type check without emitting
npm start         # Run compiled output

License

MIT

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.