bots
150+ vertical AI expert bots as agent tools. $1 bots run on YOUR machine - your data stays yours.
我该使用它吗
质量与安全性
发现(2)
- HIGH
- MEDIUM在 get_bot 中
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中:
{
"mcpServers": {
"bots": {
"url": "https://urbot.net/mcp"
}
}
}远程端点
https://urbot.net/mcpstreamable-http它能做什么
工具清单
工具(5)
🟢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 $1). Optionally filter by category (e.g. education, health, finance, legal, technology, outdoor, 3d-modeling, game-dev, 3d-printing, media). Use the returned slug with get_bot, chat_with_bot, or get_skill. URBot bots keep your data yours - each one is downloadable and runs locally.
输入模式
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional category filter, case-insensitive (e.g. \"education\")"
}
},
"additionalProperties": false,
"$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.
输入模式
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Bot slug, e.g. \"chef\", \"professor\", \"medic\""
}
},
"required": [
"slug"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡chat_with_bot(slug, message, session_id)
Send a message to a live URBot expert bot and get its reply (with emotion metadata). Works without an account via the free preview (a few messages per bot per session); purchased bots or an URBOT_API_KEY lift the limits. Pass the returned session_id back in to continue the same conversation. Example slugs: chef, medic, professor, legal, hunter, blender.
输入模式
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Bot slug, e.g. \"chef\""
},
"message": {
"type": "string",
"description": "Your message to the bot"
},
"session_id": {
"type": "string",
"description": "Session id from a previous reply, to continue that conversation"
}
},
"required": [
"slug",
"message"
],
"additionalProperties": false,
"$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).
输入模式
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Bot slug, e.g. \"chef\""
}
},
"required": [
"slug"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢search_bots(query)
Keyword-search the URBot catalog across bot names, taglines, categories, knowledge topics, and capability pitches. Returns the top matches with slug, name, category, price, and why they matched. Use this first when you know the task but not which expert bot to use (e.g. "sourdough", "tax deductions", "unreal engine blueprints", "knee pain").
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Free-text keywords, e.g. \"meal prep nutrition\""
}
},
"required": [
"query"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}推荐提示词
search_botssearch_botsget_botget_botlist_bots社区
证据