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MCP server · AI

Gemini Google Search

MCP server for Google Search integration using Gemini's built-in search capabilities

Unclaimed Apache-2.0 last commit a year ago mcpmodel-context-protocolgeminigoogle-searchstdio
64Good

Scored 5 months ago · breakdown

About Gemini Google Search

Gemini Google Search is an MCP server published by yukukotani in the AI category: mCP server for Google Search integration using Gemini's built-in search capabilities.

The repository has 83 stars and 6 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

Claude Code
claude mcp add gemini-google-search -- npx -y gemini-google-search-mcp
npx
npx -y gemini-google-search-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 5 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.1.1v0.1.1 · 25 Jun 2025

README

MCP Gemini Google Search

日本語

A Model Context Protocol (MCP) server that provides Google Search functionality using Gemini's built-in Grounding with Google Search feature.

This project is inspired by the GoogleSearch tool from gemini-cli.

Features

  • Uses Gemini's built-in Grounding with Google Search feature
  • Provides real-time web search results with source citations
  • Compliant with MCP standard protocol
  • Supports stdio transport
  • Supports both Google AI Studio and Vertex AI

Requirements

  • Node.js 18 or later
  • Google AI Studio API key (Get one here) or Google Cloud Project with Vertex AI enabled

Installation

npm install -g mcp-gemini-google-search

Usage

Environment Variables

# For Google AI Studio (default)
export GEMINI_API_KEY="your-api-key-here"
export GEMINI_MODEL="gemini-2.5-flash"  # Optional (default: gemini-2.5-flash)

# For Vertex AI
export GEMINI_PROVIDER="vertex"
export VERTEX_PROJECT_ID="your-gcp-project-id"
export VERTEX_LOCATION="us-central1"  # Optional (default: us-central1)
export GEMINI_MODEL="gemini-2.5-flash"  # Optional (default: gemini-2.5-flash)

Claude Code Configuration

You can set up this MCP server in Claude Code using the CLI:

For Google AI Studio

# Add to user scope (available across all projects)
claude mcp add gemini-google-search \
  -s user \
  -e GEMINI_API_KEY="your-api-key-here" \
  -e GEMINI_MODEL="gemini-2.5-flash" \
  -- npx mcp-gemini-google-search

# Or add to project scope to share with your team
claude mcp add gemini-google-search \
  -s project \
  -e GEMINI_API_KEY="your-api-key-here" \
  -e GEMINI_MODEL="gemini-2.5-flash" \
  -- npx mcp-gemini-google-search

For Vertex AI

# Add to user scope (available across all projects)
claude mcp add gemini-google-search \
  -s user \
  -e GEMINI_PROVIDER="vertex" \
  -e VERTEX_PROJECT_ID="your-gcp-project-id" \
  -e VERTEX_LOCATION="us-central1" \
  -e GEMINI_MODEL="gemini-2.5-flash" \
  -- npx mcp-gemini-google-search

# Or add to project scope to share with your team
claude mcp add gemini-google-search \
  -s project \
  -e GEMINI_PROVIDER="vertex" \
  -e VERTEX_PROJECT_ID="your-gcp-project-id" \
  -e VERTEX_LOCATION="us-central1" \
  -e GEMINI_MODEL="gemini-2.5-flash" \
  -- npx mcp-gemini-google-search

Windows Users

On Windows, wrap the npx command with cmd /c:

claude mcp add gemini-google-search \
  -e GEMINI_API_KEY="your-api-key-here" \
  -- cmd /c npx mcp-gemini-google-search

Available Tools

google_search

Search Google for information.

Parameters:

  • query (string, required): Search query

Example:

latest TypeScript features
It appears you're asking about the latest features in TypeScript. Here's a summary of recent updates and key features, based on the provided search results:

**Key Features in Recent TypeScript Updates:**

*   **Satisfies Operator:** This operator lets you specify that a value conforms to a specific type without fully enforcing it.[1,2]
*   **Const Type Parameters:** Using `const` with type parameters provides more precision with function generics, helping specify literal types and prevent unwanted transformations.[2] This ensures arrays are treated as immutable, maintaining their literal types.[2]
*   **Improved Enum Types:** Enums are more robust, especially `const enum`, which optimizes enums by inlining their values at compile time.[2] From version 5.0, all enums are treated as a type union, even with calculated values.[1]
*   **Template Literal Types:** Template literal types are more expressive, allowing you to create types that build on literals, similar to JavaScript template strings.[2]
*   **Unions and Intersections with Discriminated Unions:** TypeScript offers better handling for union and intersection types, which are frequently used to build flexible types.[2] Discriminated unions allow you to create complex structures with ease and clear type guards.[2]
*   **New ECMAScript Set Methods:** Support for new methods like `union`, `intersection`, and `difference` for more powerful set operations.[3]

**TypeScript 5.8 Highlights (March 2025):**

*   **Module Node18 Flag:** Provides a stable reference point for users fixed on Node.js 18, without incorporating certain behaviors of `--module nodenext`.[4]
*   **Optimizations:** Introduces optimizations that improve the time to build up a program and update it based on file changes, especially in `--watch` mode or editor scenarios.[4] This includes avoiding array allocations during path normalization.[4]
*   **Import Assertions:**  `--module nodenext` in TypeScript 5.8 will issue an error if it encounters an import assertion, as Node.js 22 no longer accepts them using the `assert` syntax, recommending `with` instead.[4]

**Other Notable Features & Improvements:**

*   **Inferred Type Predicates:** Improved type inference, especially with arrays and filtering.[3]
*   **Control Flow Narrowing for Constant Indexed Accesses:** Better type narrowing for accessing object properties.[3]
*   **Regular Expression Syntax Checking:** Basic syntax checks are performed on regular expressions, flagging errors like unclosed parentheses.[3]
*   **Array filter Fixes:** Properly filters the type of arrays when you use the filter function.
*   **Object Key Inference Fixes:** Improves type inference.

**Performance Enhancements:**

*   **Go Rewrite:**  A full rewrite of TypeScript in Go has been promised for version 7.0, which has demonstrated significant speed improvements (up to 10x-15x in some cases).[5] This will affect the compiler (`tsc`) and IDE performance (loading, hovers, errors, etc.).[5] The team chose Go for its structural similarity to the current JavaScript implementation.[5]
*   **TypeScript 5.0:** This update aimed to accelerate coding processes and simplify development by refining code, data structures, and streamlining import/export operations.[6]

In summary, TypeScript is continuously evolving with new features and improvements aimed at enhancing developer productivity, code quality, and performance.[6]


Sources:
[1] edicomgroup.com (https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFILdgh_4-Yh0OuwzDOqwCfvLGHdhm_PGhdAIzMK_DFwW38X9qK8b3Tj_ws2VZ2VLxWW_NJtuzot8B_wYYH4rOHBY_1HYZ7PyCHOCR3GzQpwQUi71ufAf6izU13O3W6GzjQAQnVjnheeRLLLf4mD7uueIS-g0yeivFo2XWZKJF4wtRtDfdTYjtHvRYmB7rY6Q==)
[2] dev.to (https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFFMJOcmJDu8TUJsc6cKjVMDTR7ggjQMUc1aMAIVKRhbTq7Zjzh5f_h-UpZn6LE6xB-nTqUmQwHCiUmhvAZ_uYmzXIzNmJvtoDUjDcB9hJDw_aPPvJjd411APwVfiNvd3yhlrB7MFsnxH25-hxNetmoZJrriZ0mGm6ZaYbm0yMeiruDqC5mnqXJwuyGLMdrg-M3LpRAGrxVAT9b1veE)
[3] dev.to (https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFfDcb-2QNwLZ0TpjSkNCWCvh-dvslYtllEMyyTXCSu-3jbOBD4vvq0j5Hqyuw8BcmEpKjBBeBZS83E-GCKax48hg5Oc1Fam6GQy296DxQkEQOfg7pvmnRhE3tdDbDCBqXKdYPonoR_AVLBAlGdKg==)
[4] microsoft.com (https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEWKA9uZsB7lcOGcnOLveyjImsqVwNItCj3n3QiCrCkyL6iY4rA16Wp37FecAoKgX58lcDcBOuXye97fgw5SAbLwDkl3M-vCUK0I0HxtCx8qMaBVM42sxyFEQjn1iz4Qgzud3P7pDlc4frHf6Wkgs8nNcoIlMriePVOb0l9vmY=)
[5] totaltypescript.com (https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFysE6zFlg_XiXfGqAiDapTIj2bsVWlkuq3Trpfacjd1a7gMDrUh35MKW-No9qdSKti68W3M2b1j6VqlnZ7v_yBOjE8hK_3d57U7UePyjMOUDdbBBGRK8CZeUug3hBOFsZjbnQoDdoL446oZL1R38gJrc9JvGmlWQno)
[6] rabitsolutions.com (https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEY1brKmgxI5YOA1HrB89SnHNPyhm3Dlz-zumJMoi-wBegLSOjto360JJrA29TwVB8A02qHWZBtwua0QHn8NxAjWUCCkLxD7lZa_xW4Mtp8diiAXl1ppIWEHq6T7B1Mm6_dMs3lWoOKOJSjCUrk6-P4ao40V-nYULfPtA==)

Development

To contribute to this project:

# Clone the repository
git clone https://github.com/yukukotani/mcp-gemini-google-search.git
cd mcp-gemini-google-search

# Install dependencies
npm install

# Development mode (watch for file changes)
npm run dev

# Build
npm run build

# Run locally
npm run start

# Debug with MCP Inspector
npm run inspect

Debugging with MCP Inspector

Running npm run inspect will open the MCP Inspector in your browser. This allows you to:

  • View available tools
  • Execute tools and see responses
  • Debug in real-time

License

Apache License 2.0

README fetched from the repository 5 hours ago. The original is authoritative.

Questions

About Gemini Google Search

How do I install Gemini Google Search?

Run claude mcp add gemini-google-search -- npx -y gemini-google-search-mcp, then add the server to your MCP client's configuration.

Is Gemini Google Search safe to use with an AI agent?

Its trust score is 64 out of 100 (good). It passes 4 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Gemini Google Search still maintained?

The last commit was a year ago and 1 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.