Agent-Native Restaurant Directory

Restaurant intelligence
for AI agents

Structured menus, per-dish dietary flags, allergen data, and reservation links for Minneapolis‑St. Paul. One MCP connection. No API key required.

Connect via MCP See it work

175

Restaurants

5,400+

Menu items

Neighborhoods

91%

AI-ready profiles

Capabilities

What your agent gets

☰

Structured menus

Every dish with name, description, price, and course. Per-dish dietary flags and allergen data. Clean, normalized JSON.

★

Experience intelligence

Vibe, ambiance, noise level, occasion fit, and standout dishes — derived from thousands of aggregated reviews, not restaurant marketing copy.

📅

Reservation links

Platform, booking URL, walk-in policy. Resy, Tock, OpenTable — one call to check_availability returns the link.

Example

One query, structured results

An agent calls search_restaurants with experience filters — gets back real data from thousands of aggregated reviews.

MCP Tool Call

 1{
 2  "occasion": "date night",
 3  "vibe": "romantic",
 4  "dietary_flag": "vegetarian",
 5  "price_range": "$$"
 6}

Response

 1[{
 2  "name": "Sable Kitchen",
 3  "neighborhood": "North Loop",
 4  "ambiance": "upscale-casual",
 5  "vibe_tags": ["romantic", "candlelit"],
 6  "standout_mentions": ["saffron
      risotto", "wood-fired bread"],
 7  "avg_rating": 4.7,
 8  "reservation_platform": "Resy"
 9}]

API Surface

Four MCP tools

01 search_restaurants

Search by cuisine, price, vibe, occasion, noise level, outdoor seating, or dietary needs. Results include review-derived experience data.

02 get_restaurant

Full structured profile — cuisine, ambiance, vibe tags, standout dishes, reservation info, Google rating.

03 get_menu

Menu items with prices, dietary flags, allergens, ingredients. Filter by course or diet.

04 check_availability

Reservation platform, booking URL, walk-in policy

Get Started

Connect in 30 seconds

No API key. No sign-up. Point your MCP client at the endpoint.

MCP Endpoint (Streamable HTTP)

$ https://misen.ai/mcp

claude_desktop_config.json

1{
2  "mcpServers": {
3    "misen": {
4      "url": "https://misen.ai/mcp"
5    }
6  }
7}

REST API

$ curl https://misen.ai/api/v1/search?cuisine_type=Italian

Restaurant intelligence for AI agents