exstruct vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
exstruct by harumiWeb | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 144 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsProductivityDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
exstruct · Summary
ExStruct is a Python package that converts Excel files to structured JSON with MCP integration for AI agents.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
exstruct · Use cases
- Extracting structured data from Excel for RAG systems
- Editing Excel files through AI agents with patch workflows
- Converting complex Excel files to JSON for LLM 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
exstruct · Install
Install the package with pip:
pip install exstruct[mcp]For Claude Desktop integration, add to claude_desktop_config.json:
{
"mcpServers": {
"exstruct": {
"command": "exstruct-mcp",
"args": ["--root", "/path/to/your/data", "--on-conflict", "rename"]
}
}
}Alternatively, run directly with uvx:
uvx --from 'exstruct[mcp]' exstruct-mcp --root /path/to/your/datafilesystem · 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.