bots
150+ vertical AI expert bots as agent tools. $1 bots run on YOUR machine - your data stays yours.
사용해야 할까요
품질 및 안전성
발견 사항 (2)
- HIGHTool poisoning patterns detected
- MEDIUMTool description contains suspicious base64-like encoded stringget_bot에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"bots": {
"url": "https://urbot.net/mcp"
}
}
}원격 엔드포인트
https://urbot.net/mcpstreamable-http할 수 있는 일
도구 목록
도구 (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 $1). Optionally filter by category (e.g. education, health, finance, legal, technology, outdoor, 3d-modeling, game-dev, 3d-printing, media). Use the returned slug with get_bot, chat_with_bot, or get_skill. URBot bots keep your data yours - each one is downloadable and runs locally.
입력 스키마
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional category filter, case-insensitive (e.g. \"education\")"
}
},
"additionalProperties": false,
"$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.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Bot slug, e.g. \"chef\", \"professor\", \"medic\""
}
},
"required": [
"slug"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡chat_with_bot(slug, message, session_id)
Send a message to a live URBot expert bot and get its reply (with emotion metadata). Works without an account via the free preview (a few messages per bot per session); purchased bots or an URBOT_API_KEY lift the limits. Pass the returned session_id back in to continue the same conversation. Example slugs: chef, medic, professor, legal, hunter, blender.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Bot slug, e.g. \"chef\""
},
"message": {
"type": "string",
"description": "Your message to the bot"
},
"session_id": {
"type": "string",
"description": "Session id from a previous reply, to continue that conversation"
}
},
"required": [
"slug",
"message"
],
"additionalProperties": false,
"$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).
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Bot slug, e.g. \"chef\""
}
},
"required": [
"slug"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢search_bots(query)
Keyword-search the URBot catalog across bot names, taglines, categories, knowledge topics, and capability pitches. Returns the top matches with slug, name, category, price, and why they matched. Use this first when you know the task but not which expert bot to use (e.g. "sourdough", "tax deductions", "unreal engine blueprints", "knee pain").
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Free-text keywords, e.g. \"meal prep nutrition\""
}
},
"required": [
"query"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}권장 프롬프트
search_botssearch_botsget_botget_botlist_bots커뮤니티
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