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shariqriazz/google-ai-search-mcp

by Various

MCP server for Google AI search, documentation retrieval, code analysis, and architecture research.

MCP

shariqriazz/google-ai-search-mcp

Added 8 Sept 2026

#gemini #google-ai #mcp #model-context-protocol #search #typescript

Overview

An MCP server that exposes Google AI search for documentation retrieval, code analysis, and architecture research. It is built in TypeScript and works with any Model Context Protocol client.

Best for

Best for
Developers building MCP clients who need AI-assisted code and architecture research.

Use cases

  • Retrieve technical documentation using Google AI search
  • Run code analysis workflows through an MCP client
  • Research software architecture topics interactively

How to use

Install

bun install

Tested with

Cline

Notes

An MCP server that exposes Google AI search for documentation retrieval, code analysis, and architecture research. It is built in TypeScript and works with any Model Context Protocol client.

6 stars on GitHub. Last updated 2026-09-07. Licensed MIT.

Use cases

  • Retrieve technical documentation using Google AI search
  • Run code analysis workflows through an MCP client
  • Research software architecture topics interactively

Pros

  • Covers multiple research tasks in a single server
  • Standard MCP integration simplifies client adoption
  • TypeScript codebase offers type safety

Cons

  • Low star count indicates limited community validation
  • Broad scope may mean each feature is not deeply implemented
  • Requires access to Google AI search service

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

Pros

  • Covers multiple research tasks in a single server
  • Standard MCP integration simplifies client adoption
  • TypeScript codebase offers type safety

Cons

  • Low star count indicates limited community validation
  • Broad scope may mean each feature is not deeply implemented
  • Requires access to Google AI search service

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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