Google AI Search MCP

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/shariqriazz-google-ai-search-mcp

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Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 26, 2026.

Tools

6 read · 0 write · 0 delete · 1 not yet classified

Secrets

1 (API keys, tokens or passwords)

Install scripts

None found

Runs as

Node.js package

Tools (7)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• answer_query_websearch

  Answers a natural language query using the configured Vertex AI model (${modelId}) enhanced with Google Search results for up-to-date information. Requires a 'query' string.

• architecture_pattern_recommendation

  Suggests architecture patterns for specific use cases based on industry best practices. Provides implementation examples and considerations for the recommended patterns. Includes diagrams and explanations of pattern benefits and tradeoffs. Uses the configured Vertex AI model (${modelId}) with Google Search. Requires 'requirements' and 'tech_stack'.

• code_analysis_with_docs

  Analyzes code snippets by comparing them with best practices from official documentation found via web search. Identifies potential bugs, performance issues, and security vulnerabilities. Uses the configured Vertex AI model (${modelId}) with Google Search. Requires 'code', 'language', and 'analysis_focus'.

• explain_topic_with_docs

  Provides a detailed explanation for a query about a specific software topic by synthesizing information primarily from official documentation found via web search. Focuses on comprehensive answers, context, and adherence to documented details. Uses the configured Vertex AI model (${modelId}) with Google Search. Requires 'topic' and 'query'.

• generate_project_guidelines

  Generates a structured project guidelines document (e.g., Markdown) based on a specified list of technologies and versions (tech stack). Uses web search to find the latest official documentation, style guides, and best practices for each component and synthesizes them into actionable rules and recommendations. Uses the configured Vertex AI model (${modelId}) with Google Search. Requires 'tech_stack'.

• get_doc_snippets

  Provides precise, authoritative code snippets or concise answers for technical queries by searching official documentation. Focuses on delivering exact solutions without unnecessary explanation. Uses the configured Vertex AI model (${modelId}) with Google Search. Requires 'topic' and 'query'.

• technical_comparison

  Compares multiple technologies, frameworks, or libraries based on specific criteria. Provides detailed comparison tables with pros/cons and use cases. Includes version-specific information and compatibility considerations. Uses the configured Vertex AI model (${modelId}) with Google Search. Requires 'technologies' and 'criteria'.

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Stars

7

Forks

3

Open issues

0

Last commit

Sep 7, 2026 (1 month ago)

Last release

Aug 11, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name

io.github.shariqriazz/google-ai-search-mcp

Version

1.1.1

Auth

API key

Packages

npm google-ai-search-mcp

License

MIT

Repository

github.com/shariqriazz/google-ai-search-mcp

First seen

Oct 24, 2026

Last checked

Oct 24, 2026

Source

Official MCP Registrygithub-graphql