mcp-server-odoo vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-odoo by ivnvxd | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 282 | ★ 85,748 |
| 30d uses | — | — |
| Score | 52 | 77 |
| Official | — | ✓ |
| Categories | E-commerceDeveloper ToolsAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 1 mo ago | this month |
mcp-server-odoo · Summary
MCP server enabling AI assistants to securely interact with Odoo ERP systems for data retrieval and manipulation.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp-server-odoo · Use cases
- Automating data entry and retrieval between AI assistants and Odoo ERP systems
- Creating natural language interfaces for Odoo business operations
- Enabling AI assistants to analyze business data stored in Odoo
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-server-odoo · Install
Installation
Prerequisites
- Python 3.10 or higher
- Access to an Odoo instance
Install UV First
The MCP server runs on your local computer (where Claude Desktop is installed), not on your Odoo server. You need to install UV on your local machine.
Installing via MCP Settings (Recommended)
Add this configuration to your MCP settings:
{
"mcpServers": {
"odoo": {
"command": "uvx",
"args": ["mcp-server-odoo"],
"env": {
"ODOO_URL": "https://your-odoo-instance.com",
"ODOO_API_KEY": "your-api-key-here"
}
}
}
}For Claude Desktop, add to ~/Library/Application Support/Claude/claude_desktop_config.json
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.