bots

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

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
98%
命名品質
96%
汙染風險
80%
權限相符程度
100%
協定合規性
100%

發現項目(2)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains suspicious base64-like encoded string在 get_bot 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~799Token(工具定義)
~754 B典型回應大小
中等的注意力影響(128k 上下文的 0.62%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "bots": {
      "url": "https://urbot.net/mcp"
    }
  }
}

遠端端點

https://urbot.net/mcpstreamable-http

它能做什麼

工具清單

工具(5)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢list_bots(category)

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.

輸入結構描述

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "description": "Optional category filter, case-insensitive (e.g. \"education\")"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_bot(slug)

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.

輸入結構描述

{
  "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(slug, message, session_id)

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.

輸入結構描述

{
  "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(slug)

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).

輸入結構描述

{
  "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(query)

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").

輸入結構描述

{
  "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#"
}

建議的提示詞

search_research
Search for information about [topic] using bots
預期的工具: search_bots
find_specific
Find [specific item] using bots
預期的工具: search_bots
retrieve_data
Get details about [item] from bots
預期的工具: get_bot
fetch_info
Fetch [information type] using bots
預期的工具: get_bot
list_items
List all [items] available in bots
預期的工具: list_bots

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證據

近期觀測

已驗證未記錄版本5 個工具
已驗證未記錄版本5 個工具