What do I need to use this server?
You need a Local SEO Data account and an API key. Sign up at localseodata.com/signup, then create a key from your dashboard (starts with `sk_live_`).
@localseodata
Basic information
MCP server for Local SEO Data. Gives AI assistants access to 42 local SEO tools.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"localseodata": {
"url": "https://mcp.localseodata.com/mcp?key=YOUR_API_KEY"
}
}
}`local_audit`, `citation_audit`, `reputation_audit`, `page_audit`, `profile_health`
`review_velocity`, `local_authority`, `keyword_opportunities`
`geogrid_scan`
`location_search`
`ping`, `get_balance`
A Model Context Protocol server for Local SEO Data that gives AI assistants access to 42 local SEO tools—SERP tracking, review monitoring, keyword research, AI visibility scoring, geogrid scans, and more. After one-time setup, you can ask questions in plain English and your assistant automatically calls the right endpoints.
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?”
You need a Local SEO Data account and an API key. Sign up at localseodata.com/signup, then create a key from your dashboard (starts with `sk_live_`).
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.
MCP calls consume credits from your Local SEO Data account, same as REST API calls. Most endpoints cost 1 credit ($0.005). See localseodata.com/pricing for plans.
Yes. Clone the GitHub repository, install dependencies, set the `API_BASE_URL` environment variable to `https://api.localseodata.com`, and run `npm start`. A Dockerfile is included for containerized deployments.
Setup instructions are provided for Claude Code, Claude Desktop, Cursor, VS Code (GitHub Copilot), Cline, and Windsurf.
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