← foodlookup.ai
INDIVIDUAL MCP TOOL
search_dishes
Search real menu items across FoodLookup restaurants.
Input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent endpoint
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.foodlookup-ai]
url = "https://foodlookup.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"foodlookup-ai": {
"type": "http",
"url": "https://foodlookup.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: foodlookup-ai
Remote MCP URL: https://foodlookup.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"foodlookup-ai": {
"url": "https://foodlookup.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"foodlookup-ai": {
"type": "http",
"url": "https://foodlookup.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "foodlookup-ai",
"transport": "streamable-http",
"url": "https://foodlookup.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
search_restaurants— Find FoodLookup restaurants by city, cuisine, text query, or nearby coordinates.get_menu— Get the current menu for a specific FoodLookup restaurant ID.get_restaurant_details— Get structured restaurant metadata for a FoodLookup restaurant ID.get_food_options— Return concise ranked food recommendations.get_food_context— Read the authenticated token's food preferences and recent explicit food decisions.record_food_decision— Record a user-approved food decision for future personalization.