Common Ground

Pick one movie, show, book, artist or restaurant a whole group will enjoy, using Qloo taste data.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
88%
Naming quality
90%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~701Tokens (tool definitions)
~2.4 KBTypical response size
Moderate attention impact (0.55% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "common-ground": {
      "url": "https://common-ground.lipmichal.workers.dev/mcp"
    }
  }
}

Remote endpoints

https://common-ground.lipmichal.workers.dev/mcpstreamable-http

What it can do

Tool inventory

Tools (2)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢find_common_ground(kind, tasteFrom, location, members)

Pick ONE movie, TV show, book, music artist, podcast, restaurant (kind=place, with location) or destination that a whole group will enjoy. Give each person's name and 2 to 5 things they love. Favourites can come from another category with tasteFrom, for example music artists to pick a restaurant, or any for a mix of artists, movies, TV shows and books. Uses Qloo's taste graph to score every candidate for every person and returns the option that makes the least happy person as happy as possible, with a reason per person.

Input Schema

{
  "type": "object",
  "properties": {
    "kind": {
      "type": "string",
      "enum": [
        "movie",
        "tv_show",
        "book",
        "artist",
        "podcast",
        "place",
        "destination",
        "video_game"
      ]
    },
    "tasteFrom": {
      "description": "Category of the favourites, when it differs from kind. Example artist, to pick a movie from music. Use any when favourites mix music artists, movies, TV shows and books.",
      "type": "string",
      "enum": [
        "movie",
        "tv_show",
        "book",
        "artist",
        "podcast",
        "place",
        "destination",
        "video_game",
        "any"
      ]
    },
    "location": {
      "type": "string",
      "minLength": 1,
      "maxLength": 80
    },
    "members": {
      "minItems": 2,
      "maxItems": 8,
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string",
            "minLength": 1,
            "maxLength": 40
          },
          "likes": {
            "minItems": 2,
            "maxItems": 5,
            "type": "array",
            "items": {
              "type": "string",
              "minLength": 1,
              "maxLength": 80
            }
          }
        },
        "required": [
          "name",
          "likes"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "kind",
    "members"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🟢plan_night_out(city, members)

Plan dinner, drinks and a live music venue in one city for 2 to 6 friends. Give the city and each friend's name with 1 to 4 music artists, movies, TV shows or books they love. Qloo's cross-domain taste graph turns that shared taste into real venues. Each stop is the venue whose least happy friend is happiest, and Qloo explainability names the favourites behind it, with the share of each friend's taste.

Input Schema

{
  "type": "object",
  "properties": {
    "city": {
      "type": "string",
      "minLength": 1,
      "maxLength": 80,
      "description": "City for the night out, for example Lisbon or New York."
    },
    "members": {
      "minItems": 2,
      "maxItems": 6,
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string",
            "minLength": 1,
            "maxLength": 40
          },
          "likes": {
            "minItems": 1,
            "maxItems": 4,
            "type": "array",
            "items": {
              "type": "string",
              "minLength": 1,
              "maxLength": 80
            },
            "description": "1 to 4 music artists, movies, TV shows or books this friend loves. Mix them freely."
          }
        },
        "required": [
          "name",
          "likes"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "city",
    "members"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Community

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Evidence

Recent observations

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