gemini-flow vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
gemini-flow by clduab11 | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 383 | ★ 85,748 |
| 30d uses | — | — |
| Score | 49 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 4 mo ago | this month |
gemini-flow · Summary
Gemini-Flow is an archived production-ready AI orchestration platform with dual A2A and MCP protocol support.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
gemini-flow · Use cases
- Enterprise digital transformation with coordinated AI agent teams
- Multi-modal content creation with Google AI services
- Autonomous software development with Jules Tools integration
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
gemini-flow · Install
The project has been archived since January 29, 2026 and is no longer actively maintained. However, the previous installation method was:
npm install -g @clduab11/gemini-flow
gemini-flow init --protocols a2a,mcp --topology hierarchicalAs a Gemini CLI extension (before archival):
gemini extensions install https://github.com/clduab11/gemini-flow
gemini extensions enable gemini-flowfilesystem · 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.