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localseodata/mcp-server

by Various

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

L

MCP

localseodata/mcp-server

Added 1 June 2026

Overview

localseodata/mcp-server is an open-source Model Context Protocol server written in TypeScript. It provides AI assistants with access to 42 local SEO tools for data retrieval and analysis. The server enables developers to integrate local SEO capabilities into AI-driven workflows.

Best for

Best for
Developers building AI assistants that need direct access to local SEO data

Use cases

  • Integrating local SEO data into a chatbot or AI agent
  • Automating local search rank tracking and competitor analysis
  • Building custom AI tools that query local business listings and reviews

Notes

localseodata/mcp-server is an open-source Model Context Protocol server written in TypeScript. It provides AI assistants with access to 42 local SEO tools for data retrieval and analysis. The server enables developers to integrate local SEO capabilities into AI-driven workflows.

0 stars on GitHub. Last updated 2026-05-11. Licensed MIT.

Use cases

  • Integrating local SEO data into a chatbot or AI agent
  • Automating local search rank tracking and competitor analysis
  • Building custom AI tools that query local business listings and reviews

Pros

  • Provides a broad set of 42 local SEO tools in one server
  • Open-source and extensible for custom use
  • Written in TypeScript for type safety and easy integration

Cons

  • No stars indicate low community adoption or newness
  • Requires an MCP-compatible AI application to function
  • Limited documentation or examples due to project age

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provides a broad set of 42 local SEO tools in one server
  • Open-source and extensible for custom use
  • Written in TypeScript for type safety and easy integration

Cons

  • No stars indicate low community adoption or newness
  • Requires an MCP-compatible AI application to function
  • Limited documentation or examples due to project age