MCP Server
What is the MCP Server?
The Menoo Partners documentation includes a built-in Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, VS Code Copilot, and others to access and search the documentation directly in real time.
Key Features
- ✅ Always Up to Date: AI assistants automatically receive the latest documentation
- ✅ Multi-Language Support: Works with all languages (English, Romanian, Russian)
- ✅ Smart Search: AI can discover and read relevant documentation pages
- ✅ Zero Configuration: Enabled by default across all Menoo Partners documentation
- ✅ Standard Protocol: Compatible with any AI tool that supports MCP
How It Works
When connected to the MCP server, AI assistants can:
Discover content
Browse all available documentation pages
Smart search
Find relevant information based on your questions
Read full content
Access complete documentation including code examples
Provide accurate answers
Reference official documentation in responses
The AI assistant automatically decides when to search the documentation while generating responses, incorporating real-time information without you needing to ask explicitly.
Server Endpoint
The MCP server is available at:
https://parteneri.menoo.ro/mcp
Available Tools
The MCP server provides two tools for AI assistants:
list-pages
Lists all available documentation pages with titles, descriptions, and paths. AI assistants use this tool to discover what documentation is available.
Parameters:
locale(optional): Filter pages by language (en,ro, orru)
get-page
Retrieves the full content of a specific documentation page.
Parameters:
path(required): The page path (e.g.,/en/docs/widget)
Connecting AI Assistants
Add the MCP server using the CLI:
claude mcp add --transport http menoo-partners https://parteneri.menoo.ro/mcp
Or manually edit the Claude configuration file.
Install directly: Install in Cursor
Or create .cursor/mcp.json in your project:
{
"mcpServers": {
"menoo-partners": {
"type": "http",
"url": "https://parteneri.menoo.ro/mcp"
}
}
}
Requires the GitHub Copilot and GitHub Copilot Chat extensions.
Install directly: Install in VS Code
Or create .vscode/mcp.json:
{
"servers": {
"menoo-partners": {
"type": "http",
"url": "https://parteneri.menoo.ro/mcp"
}
}
}
- Open Windsurf → Settings → Windsurf Settings → Cascade
- Click Manage MCPs → View raw config
- Add this configuration:
{
"mcpServers": {
"menoo-partners": {
"type": "http",
"url": "https://parteneri.menoo.ro/mcp"
}
}
}
- Open Zed → Settings → Open Settings
- Navigate to the settings JSON file
- Add this context server:
{
"context_servers": {
"menoo-partners": {
"source": "custom",
"command": "npx",
"args": ["mcp-remote", "https://parteneri.menoo.ro/mcp"],
"env": {}
}
}
}
Examples
Once connected, you can ask the AI assistant questions like:
- "How do I integrate the Menoo Widget?"
- "Show me the waiter app documentation"
- "What are the menu management features?"
- "Find information about delivery configuration"
The AI assistant will automatically search the documentation and provide accurate answers based on the latest content.
Benefits
For Developers
- Quick access to documentation without leaving your IDE
- AI-generated code examples from official documentation
- Context-aware suggestions based on documentation
For Restaurant Partners
- Get instant answers about platform features
- Learn how to use different parts of the system
- Access multilingual documentation in your preferred language
For Support Teams
- Provide accurate information based on official documentation
- Reduce response time for common questions
- Ensure consistency across all support interactions
Technical Details
- Protocol: Model Context Protocol (MCP)
- Transport: HTTP/SSE (Server-Sent Events)
- Format: JSON-RPC 2.0
- Authentication: Public (no authentication required)
Learn More
- Model Context Protocol - Official MCP documentation
- Docus MCP Integration - How Docus provides MCP support
- Connect Your AI Assistant - Setup guides for popular tools
Privacy & Security
The MCP server provides access only to public documentation. No private data, API keys, or restaurant-specific information is exposed through this endpoint.