IndiaRestros

About

IndiaRestros is an open restaurant graph for India. It covers restaurants, cafes, dhabas, bakeries, bars and sweet shops, each with a permanent id. You can search by name, dish, cuisine and place, read phone numbers, timings and menus with INR prices, browse states, cities and localities, and send corrections.

Runs as a hosted streamable HTTP endpoint at https://indiarestros.com/mcp. No sign-in or API key is needed. Each fact carries its source and a confidence score, and results are never ranked by payment.

What you can do

• Search restaurants by name, cuisine, city, locality or coordinates
• Get full restaurant records with phones, timings and ratings
• Find dishes across menus with price and veg filters
• Read restaurant menus with INR prices
• Browse states, cities and localities with counts
• Report corrections to listing data

Tools 8

• search_restaurantsRead-only

  Find restaurants, cafes, dhabas, bakeries and bars by words and place.

• get_restaurantRead-only

  Full record by id: address, phones, timings, cuisines, ratings, menu summary.

• search_dishesRead-only

  Find dishes on menus with price in INR, veg/non-veg and restaurant.

• get_menuRead-only

  Menu sections and items with INR prices and veg marks.

• list_placesRead-only

  Browse states, cities or localities with restaurant counts.

• get_placeRead-only

  A city or area with counts by kind and cuisine and its areas.

• report_correctionWrites

  Submit a correction such as a dead phone or new timings; ask the user first.

• about_datasetRead-only

  Dataset counts, sources, top cities, ranking and confidence.

Read from the live server on 12 Nov 2026. Read-only, Writes and Can delete are hints the server declares; your client decides whether to ask before running a tool.

Example prompts

• Find veg paneer tikka under 300 rupees in Bengaluru

• Which biryani places are in Kondapur, and are they open now?

• Show the menu for restaurant IRR-XXXXXXXXXX

• List the cities in Karnataka with restaurant counts

Set up

Every client connects to indiarestros.com. Pick yours; the page remembers your choice.

claude mcp add --transport http indiarestros https://indiarestros.com/mcp

https://indiarestros.com/mcp

{
  "mcpServers": {
    "indiarestros": {
      "url": "https://indiarestros.com/mcp"
    }
  }
}

code --add-mcp '{"name":"indiarestros","type":"http","url":"https://indiarestros.com/mcp"}'

{
  "servers": {
    "indiarestros": {
      "type": "http",
      "url": "https://indiarestros.com/mcp"
    }
  }
}

{
  "mcpServers": {
    "indiarestros": {
      "serverUrl": "https://indiarestros.com/mcp"
    }
  }
}

codex mcp add indiarestros --url https://indiarestros.com/mcp

[mcp_servers.indiarestros]
url = "https://indiarestros.com/mcp"

gemini mcp add --transport http indiarestros https://indiarestros.com/mcp

{
  "mcpServers": {
    "indiarestros": {
      "type": "http",
      "url": "https://indiarestros.com/mcp"
    }
  }
}

Embed

Show IndiaRestros in a README or on your site. Each embed links to this page, uses the server’s own URL, and sets no cookies. How embeds work

The card, the iframe and the JSON are in English. Add ?lang=it, fr, de or es to their address for another language.

README badge Website card iframe JSON AI prompt

README badge

Markdown

[![IndiaRestros on mcp.tc](https://mcp.tc/i/indiarestros/badge.svg)](https://mcp.tc/i/indiarestros)

HTML

<a href="https://mcp.tc/i/indiarestros"><img src="https://mcp.tc/i/indiarestros/badge.svg" alt="IndiaRestros on mcp.tc" height="20"></a>

It follows the reader’s light or dark mode. Add ?theme=light or ?theme=dark to fix it, or ?style=compact to show the mark without the word.

Website card

HTML

<script src="https://mcp.tc/w/indiarestros.js" async></script>

The card appears where the tag is. Add data-theme="dark" or data-size="compact" to the tag to change it. The file holds everything it needs, so it makes no other requests and sets no cookies.

iframe

HTML

<iframe src="https://mcp.tc/embed/indiarestros" title="IndiaRestros on mcp.tc" width="420" height="200" loading="lazy" allow="clipboard-write" style="border:0;border-radius:8px;max-width:100%"></iframe>

Use it on pages that don’t allow scripts. Add ?theme=light or ?theme=dark to the address to fix the colors.

JSON

The listing as data for your own pages and tools: name, tagline, the server’s own URL, tools and the “Add to” links. Any site can read it (CORS is open).

https://mcp.tc/i/indiarestros.json

What each field means

AI prompt

Paste this into an AI coding assistant, such as Claude Code or Cursor, and it adds the IndiaRestros card to your site.

Markdown

Add the mcp.tc card for IndiaRestros, an MCP server, to my website. It is one static script: no build step, no package to install, no cookies.

Put this tag where the card should appear. The card renders right before it:

```html
<script src="https://mcp.tc/w/indiarestros.js" async></script>
```

To show the card somewhere else, put this placeholder there and load the same script once, for example before `</body>`. Keep the link inside: visitors without JavaScript see it.

```html
<div data-mcptc="indiarestros"><a href="https://mcp.tc/i/indiarestros">IndiaRestros on mcp.tc</a></div>
```

Options:
- `data-theme="light"` or `"dark"` on the tag or the placeholder fixes the colors. Without it, the card follows the visitor’s light or dark mode.
- `data-size="compact"` gives a smaller card without the tagline.
- The CSS variable `--mcptc-max-width` on the placeholder or a parent sets the width (default `520px`).
- `?lang=` on the script URL sets the card’s language: `en`, `it`, `fr`, `de` or `es`.

If the site has a Content Security Policy, allow `script-src https://mcp.tc` and `img-src data:` (the icon is inline).

For a README or other Markdown docs, use the badge instead:

```markdown
[![IndiaRestros on mcp.tc](https://mcp.tc/i/indiarestros/badge.svg)](https://mcp.tc/i/indiarestros)
```

Reference: https://mcp.tc/embed

Change history

We read this server’s tool list every 3 hours and record what changes. Last read 12 Nov 2026, 11:39 UTC.

1. 8 Nov 2026, 05:52 UTC, Automatic check

   1 tool changed.

   Details, 8 Nov 2026, 05:52 UTC

   Changed 1

   • search_restaurantsdescription
     Before

     Find restaurants, cafes, dhabas, bakeries, bars, sweet shops and delivery kitchens anywhere in India by words and place. Each result has id, name, url, kind, cuisines, address, phone, open_now (IST), timings, cost for two, rating, photo and distance for near-me searches.

     After

     Find restaurants, cafes, dhabas, bakeries, bars, sweet shops and delivery kitchens anywhere in India by words and place. Each result has id, name, url, kind, cuisines, address, phone, open_now (IST), timings, cost for two, price_band (1 budget, 2 mid-range, 3 upscale, 4 fine dining), menu_items (null = no menu on file), rating_external (the other-platform rating with the most ratings; ratings_external lists all, weigh by count), photo and distance for near-me searches. An empty result with warning unknown_city / unknown_locality / unknown_cuisine means the slug is wrong, not that there are no places: check list_places.

2. 30 Oct 2026, 05:43 UTC, Automatic check

   New version 1.1.0 (was 1.0.0). Reported by the server.

3. 30 Oct 2026, 05:43 UTC, Automatic check

   1 tool changed. Server instructions changed.

   New server instructions

   Details, 30 Oct 2026, 05:43 UTC

   Changed 1

   • search_restaurantsdescription and input schema
     Before

     Find restaurants, cafes, dhabas, bakeries, bars and sweet shops by words and place. Returns id, name, kind, cuisines, locality, city, url and whether a phone number is on file.

     After

     Find restaurants, cafes, dhabas, bakeries, bars, sweet shops and delivery kitchens anywhere in India by words and place. Each result has id, name, url, kind, cuisines, address, phone, open_now (IST), timings, cost for two, rating, photo and distance for near-me searches.

     • New parameters: open_now
     • Description of diet
       Before

       none

       After

       veg (pure vegetarian places) or halal

     • Description of limit
       Before

       none

       After

       Default 20

   Server instructions

   Before

   IndiaRestros (https://indiarestros.com) is India's open restaurant graph: restaurants, cafes, dhabas, bakeries, bars and sweet shops across every state, each with a permanent id IRR-XXXXXXXXXX. Use it to find places to eat, read their phone numbers, timings, cuisines and menus, and to send a correction when something is wrong. How to use it well: - search_restaurants takes free words (name, dish, cuisine) plus a place. Give city as a slug (bengaluru, mumbai, delhi, new-delhi is delhi) and optionally locality (indiranagar, kondapur), or lat/lon with radius_m for "near me". "biryani in kondapur" also works as q alone. - Every field carries its source (src: osm = OpenStreetMap, overture = Overture Maps, owner = the restaurant itself, google/zomato/... = public listings) and the record has scores.confidence (0-1). Say where a fact came from when it matters, e.g. "the phone number is from OpenStreetMap; it may be out of date". - Word searches list places whose name starts with the words first, then the rest by how well each place is documented; a lat/lon search without words is sorted by distance. Never by payment: no restaurant can buy a position. - Ratings: ratings.foodie are IndiaRestros foodie ratings only; ratings.external are other sites' numbers, labelled. - Foodies contact restaurants directly by phone/WhatsApp/website. IndiaRestros takes no commission. - Always cite the restaurant's url.

   After

   IndiaRestros (https://indiarestros.com) is India's open restaurant graph: restaurants, cafes, dhabas, bakeries, bars and sweet shops across every state, each with a permanent id IRR-XXXXXXXXXX. Use it to find places to eat, read their phone numbers, timings, cuisines and menus, and to send a correction when something is wrong. Use it for any question about eating out anywhere in India: "biryani near Kondapur", "veg restaurants open now in Indiranagar", "a cafe in Goa", "where can I get masala dosa under 100 rupees in Bengaluru", "the phone number of X". How to use it well: - search_restaurants takes free words (name, dish, cuisine) plus a place. Give city as a slug (bengaluru, mumbai, delhi, new-delhi is delhi) and optionally locality (indiranagar, kondapur), or lat/lon with radius_m for "near me". "biryani in kondapur" also works as q alone. Each hit already has the address, phone, open_now, timings and url, so most answers need no further call; use get_restaurant for the full record and get_menu for prices. - For a dish with a price ("paneer tikka under 300 in Pune"), use search_dishes first. - If a city search returns nothing, try list_places or a nearby bigger city; small towns may have few places. - Every field carries its source (src: osm = OpenStreetMap, overture = Overture Maps, owner = the restaurant itself, google/zomato/... = public listings) and the record has scores.confidence (0-1). Say where a fact came from when it matters, e.g. "the phone number is from OpenStreetMap; it may be out of date". - Word searches list places whose name starts with the words first, then the rest by how well each place is documented; a lat/lon search without words is sorted by distance. Never by payment: no restaurant can buy a position. - Ratings: ratings.foodie are IndiaRestros foodie ratings only; ratings.external are other sites' numbers, labelled. - Foodies contact restaurants directly by phone/WhatsApp/website. IndiaRestros takes no commission. - Always cite the re…

4. 25 Oct 2026, 05:24 UTC, Automatic check

   Tracking started: 8 tools.

FAQ