Bots

Official5 toolsLive

by urbot

150+ vertical AI expert bots as agent tools. $1 bots run on YOUR machine - your data stays yours.

Captured live from the server via tools/list.

list_bots

List the URBot catalog of 150+ trained vertical AI expert bots with slug, name, tagline, category, and price tiers (most bots start at $1). Optionally filter by category (e.g. education, health, finance, legal, technology, outdoor, 3d-modeling, game-dev, 3d-printing, media). Use the returned slug with get_bot, chat_with_bot, or get_skill. URBot bots keep your data yours - each one is downloadable and runs locally.

Parameters1

get_bot

Get the full card for one URBot bot by slug: name, tagline, pitch, price tiers, 6-axis capability radar (knowledge/practical/empathy/technical/creativity/safety, 0-100), knowledge topics, which bots it pairs with, and team synergy bonuses. Find slugs via list_bots or search_bots.

Parameters1

slug

string

required

Bot slug, e.g. "chef", "professor", "medic"

Raw schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Bot slug, e.g. \"chef\", \"professor\", \"medic\""
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

chat_with_bot

Send a message to a live URBot expert bot and get its reply (with emotion metadata). Works without an account via the free preview (a few messages per bot per session); purchased bots or an URBOT_API_KEY lift the limits. Pass the returned session_id back in to continue the same conversation. Example slugs: chef, medic, professor, legal, hunter, blender.

Parameters3

slug	string	required	Bot slug, e.g. "chef"
message	string	required	Your message to the bot
session_id	string	optional	Session id from a previous reply, to continue that conversation

Raw schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Bot slug, e.g. \"chef\""
    },
    "message": {
      "type": "string",
      "description": "Your message to the bot"
    },
    "session_id": {
      "type": "string",
      "description": "Session id from a previous reply, to continue that conversation"
    }
  },
  "required": [
    "slug",
    "message"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

get_skill

Generate an agent-ready SKILL.md (agentskills.io-style YAML frontmatter + system prompt + capability profile) for one URBot bot. Drop the file into any SKILL.md-compatible agent (Claude Code, Cursor, Hermes, ...) to use the bot as a native skill. Uses the live URBot Factory persona endpoint when credentials are available, otherwise builds from the bundled catalog snapshot (marked in frontmatter).

Parameters1

slug

string

required

Bot slug, e.g. "chef"

Raw schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Bot slug, e.g. \"chef\""
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

search_bots

Keyword-search the URBot catalog across bot names, taglines, categories, knowledge topics, and capability pitches. Returns the top matches with slug, name, category, price, and why they matched. Use this first when you know the task but not which expert bot to use (e.g. "sourdough", "tax deductions", "unreal engine blueprints", "knee pain").

Parameters1

query

string

required

Free-text keywords, e.g. "meal prep nutrition"

Raw schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Free-text keywords, e.g. \"meal prep nutrition\""
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Install

Tools (5)

list_botsget_botchat_with_botget_skillsearch_bots

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://urbot.net/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "bots": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://urbot.net/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.