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Local SEO Data

MCP ServerPaid

Local SEO Data is an MCP server that connects an AI assistant to the Local SEO Data service. It lets the assistant retrieve local search results and business data, research keywords and competitors, and run local SEO audits.

Last updated:

  • Official. Built and maintained by the company or project behind the service, so usually kept in step with it. Not audited by us.

  • Community. Built and maintained by an independent developer or group, not by the company behind the service. The company has not reviewed it, and updates depend on its author.

About Local SEO Data

Local SEO Data is an MCP server that connects an AI assistant to the Local SEO Data service. Through that connection, an assistant can request local search results, business information, keyword research, and audit data using the service’s endpoints. The server turns those endpoints into tools an MCP client can call in response to a user’s request, such as checking local rankings or reviewing a business profile.

It is intended for research and analysis workflows: ask an assistant for a local SEO check, and it can retrieve the relevant service data rather than requiring each result to be gathered manually in separate requests.

What can Local SEO Data do?

The documented capabilities span search-result data, business information, audits, keyword research, competitive analysis, and AI-search visibility. The assistant can gather results for a chosen query or location, then use related tools to examine business profiles, reviews, and ranking patterns.

  • Retrieve local pack, organic SERP, Maps, Local Finder, and Local Services Ads results.
  • Run local, citation, reputation, page, and profile-health audits.
  • Research keywords, business listings, reviews, and competitor differences.
  • Check AI-search mentions, visibility, sources, and comparisons.
  • Run geographic-grid scans to inspect rankings across an area.

How Local SEO Data connects and authenticates

The documented hosted connection uses HTTP. The project also describes self-hosting, and repository history notes a stdio transport entry point. Authentication for the documented hosted setup uses a Local SEO Data API key passed in the connection URL; keys can be created or revoked in the service dashboard. Setup guidance covers Claude Code, Claude Desktop, Cursor, VS Code, Cline, and Windsurf. The repository describes a Dockerfile for container deployments.

Who is Local SEO Data best for?

This server suits local SEO work that needs search-result research, business data, keyword discovery, review analysis, competitor checks, or audits through an AI assistant. A user needs a Local SEO Data account and API key to make calls. Calls consume account credits, and costs vary by endpoint, so it fits workflows where the user can track service usage and select the data requests they need.

What Local SEO Data can access and change

The documented tools retrieve and analyze search results, business profiles, reviews, listings, keywords, competitor information, audits, and AI-search data. The checked tool list does not indicate tools for editing business listings or reviews. Calls consume account credits, with endpoint-specific costs. In the hosted setup, the API key is passed as a URL query parameter; users should account for that credential-handling detail when configuring a client. The service documents key creation and revocation in its dashboard.

Alternatives to Local SEO Data

For adjacent search workflows, compare Brave Search MCP, which connects to Brave Search and includes web and local business search capabilities, or DuckDuckGo MCP Server, a search-focused listing. These are options to consider when the task centers on general web or local search rather than Local SEO Data’s documented combination of local SEO audits, business data, keyword research, and ranking analysis.

Key Features

Retrieve local pack, organic SERP, Maps, Local Finder, and Local Services Ads results.

Run local SEO, citation, reputation, page, and business-profile health audits.

Scan geographic grids to review local ranking patterns.

Research keywords, competitors, reviews, business profiles, and AI-search visibility.

Connect through a hosted HTTP MCP server or self-host the server.

Use with Claude Code, Claude Desktop, Cursor, VS Code, Cline, and Windsurf.

Before you installSecurity checklist for MCP servers

An MCP server runs code and gives your AI assistant access to files, accounts or data. A few minutes of checking is worth it.

  1. Check the source. Make sure the repository belongs to the vendor or author you expect, that the vendor's own documentation links to it, and that it is actively maintained. Beware of lookalike names.
  2. Read what it can do. Look at the tools the server exposes and the permissions or scopes it asks for. Start with read-only access where the server allows it.
  3. Use the least access that works. Give it a dedicated API key or a narrowly scoped token, ideally on a test project or sandbox, not your production credentials.
  4. Pin versions and review updates. Install a specific version, read changes before upgrading, and do not run copied commands you do not understand.
  5. Treat what it returns as untrusted. Documents, web pages and tool results can contain text that tries to steer your AI assistant. Keep confirmation switched on for actions that write, delete, send or spend.
  6. Know where your data goes. Find out whether the server runs on your machine or is hosted, and what it sends to the vendor or to third parties.
  7. Keep a way back. Know how to revoke the key and remove the server from your client's configuration.

This page is general information, not security or legal advice, and listing a server is not an endorsement or a security review. We do not create, host or control MCP servers, and listing details such as commands, permissions or pricing can be out of date, so check the official source. You install and use MCP servers at your own risk. See the section on third-party products in our Terms of Service.

Pricing Plans

Pay-as-you-go API usage

$0.005

  • Calls use credits from a Local SEO Data account and API key.
  • The listed starting rate is for a call; endpoint rates vary.
  • Most endpoints cost one credit at the starting rate.
  • Suitable for users who want to pay for API usage rather than a monthly commitment.

Pricing information last updated: October 20, 2026

FAQs

What does the MCP server connect to?

It connects an MCP-compatible AI assistant to the Local SEO Data service so the assistant can call its data retrieval and analysis endpoints.

What account do I need to use it?

You need a Local SEO Data account and an API key. The hosted setup passes the key as a URL query parameter.

How is MCP usage charged?

Calls consume credits from your Local SEO Data account. Endpoint rates vary; the verified pricing page lists rates by endpoint.

Can it edit my business listing or reviews?

The checked tool list documents data retrieval and analysis. It does not indicate tools for editing business listings or reviews.

Which clients have setup guidance?

The documentation covers Claude Code, Claude Desktop, Cursor, VS Code, Cline, and Windsurf.