mcp-workspace vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp-workspace by MarcusJellinghaus | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 47 | ★ 85,748 |
| 30d uses | — | — |
| Score | 45 | 77 |
| Official | — | ✓ |
| Categories | File SystemDeveloper ToolsAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
mcp-workspace · Summary
Secure MCP server providing file system, Git, and GitHub tools for AI assistants in a sandboxed project directory.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp-workspace · Use cases
- Enable AI assistants like Claude to read and modify code in your project directly
- Provide secure file system access to LLMs for automated code generation and refactoring
- Allow AI to analyze and debug code by reading multiple files in a project
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-workspace · Install
Installation
# Clone the repository
git clone https://github.com/MarcusJellinghaus/mcp-workspace.git
cd mcp_workspace
# Create and activate a virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies using pip with pyproject.toml
pip install -e .Running the Server
mcp-workspace --project-dir /path/to/project [--reference-project NAME=/path/to/reference]... [--log-level LEVEL] [--log-file PATH]Claude Desktop Integration
Add the following to your Claude Desktop configuration file:
{
"mcpServers": {
"filesystem": {
"command": "mcp-workspace",
"args": [
"--project-dir",
"C:\\path\\to\\your\\specific\\project",
"--reference-project",
"docs=C:\\path\\to\\documentation"
]
}
}
}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.