mcp-gemini-server vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp-gemini-server by bsmi021 | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 35 | ★ 85,748 |
| 30d uses | — | — |
| Score | 41 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsMedia | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 12 mo ago | this month |
mcp-gemini-server · Summary
A TypeScript MCP server wrapping Google Gemini API, offering tools for text generation, multimedia analysis, and function calling.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp-gemini-server · Use cases
- Analyzing YouTube videos for educational content summarization
- Generating text content with system instructions and cached context
- Performing web content analysis through URL processing
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-server · Install
Installation & Setup
- **Clone/Place Project:** Ensure the
mcp-gemini-serverproject directory is accessible. - **Install Dependencies:**
``bash npm install ``
- **Build Project:**
``bash npm run build ``
- **Generate Connection Token:** Create a secure token using Node.js crypto:
``bash node -e "console.log(require('crypto').randomBytes(32).toString('hex'))" ``
- **Configure MCP Client:** Add to your settings file:
``json { "mcpServers": { "gemini-server": { "command": "node", "args": ["/path/to/mcp-gemini-server/dist/server.js"], "env": { "GOOGLE_GEMINI_API_KEY": "YOUR_API_KEY", "MCP_SERVER_HOST": "localhost", "MCP_SERVER_PORT": "8080", "MCP_CONNECTION_TOKEN": "YOUR_GENERATED_CONNECTION_TOKEN", "GOOGLE_GEMINI_MODEL": "gemini-1.5-flash" } } } } ``
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.