filesystem vs mcp-gemini-google-search

Side-by-side comparison to help you pick between these two MCP servers.

	filesystem by modelcontextprotocol	mcp-gemini-google-search by yukukotani
Stars	★ 85,748	★ 79
30d uses	—	—
Score	77	43
Official	✓	—
Categories	File SystemDeveloper ToolsProductivity	AI / LLM ToolsSearchDeveloper Tools
Language	TypeScript	TypeScript
Last commit	this month	10 mo ago

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

mcp-gemini-google-search · Summary

MCP server providing Google Search functionality using Gemini's built-in Grounding with Google Search feature.

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

mcp-gemini-google-search · Use cases

Real-time information retrieval in AI assistants
Adding web search capabilities to MCP-compatible clients
Research tasks requiring current web data with source verification

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

mcp-gemini-google-search · Install

Installation

npm install -g mcp-gemini-google-search

Environment Variables

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

# For Vertex AI
export GEMINI_PROVIDER="vertex"
export VERTEX_PROJECT_ID="your-gcp-project-id"
export VERTEX_LOCATION="us-central1"  # Optional

Claude Code Configuration

claude mcp add gemini-google-search \
  -s user \
  -e GEMINI_API_KEY="your-api-key-here" \
  -- npx mcp-gemini-google-search

Comparison generated from public README + GitHub signals. Last updated automatically.