filesystem vs antigravity-workspace-template

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

	filesystem by modelcontextprotocol	antigravity-workspace-template by study8677
Stars	★ 85,748	★ 1,219
30d uses	—	—
Score	77	55
Official	✓	—
Categories	File SystemDeveloper ToolsProductivity	Developer ToolsAI / LLM ToolsKnowledge Graph
Language	TypeScript	Python
Last commit	this month	this month

filesystem · Summary

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

antigravity-workspace-template · Summary

Multi-agent knowledge engine that turns any codebase into a queryable AI assistant with MCP 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

antigravity-workspace-template · Use cases

Understanding complex codebases by asking natural language questions about code structure and functionality
Accelerating code reviews by quickly locating specific implementations and dependencies
Onboarding new developers to existing projects with instant access to contextual knowledge

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.

antigravity-workspace-template · Install

Option A — Plugin install for Claude Code / Codex CLI

# Claude Code (auto-installs the Python engine CLI on first session via SessionStart hook)
/plugin marketplace add study8677/antigravity-workspace-template
/plugin install antigravity@antigravity
/antigravity:ag-setup            # interactive: pick LLM provider, paste API key, writes .env
/antigravity:ag-refresh          # runs ag-refresh directly; first refresh auto-creates .antigravity/

# Codex CLI (install the engine manually first; Codex hooks are not yet supported)
pipx install "git+https://github.com/study8677/antigravity-workspace-template.git#subdirectory=engine"
codex plugin marketplace add study8677/antigravity-workspace-template
/ag-setup                        # same flow, no antigravity: prefix in Codex

Option B — Manual install: engine + CLI via pip

pip install "git+https://github.com/study8677/antigravity-workspace-template.git#subdirectory=cli"
pip install "git+https://github.com/study8677/antigravity-workspace-template.git#subdirectory=engine"

cd my-project
cat > .env <<EOF
OPENAI_BASE_URL=https://your-endpoint/v1
OPENAI_API_KEY=your-key
OPENAI_MODEL=your-model
AG_ASK_TIMEOUT_SECONDS=120
EOF

ag-refresh --workspace .
ag-ask "How does auth work in this project?"

Option C — Register as MCP server

claude mcp add antigravity ag-mcp -- --workspace $(pwd)

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