bots
150+ vertical AI expert bots as agent tools. $1 bots run on YOUR machine - your data stays yours.
使うべきか
品質と安全性
検出事項（2）
- HIGHTool poisoning patterns detected
- MEDIUMTool description contains suspicious base64-like encoded stringget_bot 内
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"bots": {
"url": "https://urbot.net/mcp"
}
}
}リモートエンドポイント
https://urbot.net/mcpstreamable-httpできること
ツール一覧
ツール（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 $1). Optionally filter by category (e.g. education, health, finance, legal, technology, outdoor, 3d-modeling, game-dev, 3d-printing, media). Use the returned slug with get_bot, chat_with_bot, or get_skill. URBot bots keep your data yours - each one is downloadable and runs locally.
入力スキーマ
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional category filter, case-insensitive (e.g. \"education\")"
}
},
"additionalProperties": false,
"$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.
入力スキーマ
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Bot slug, e.g. \"chef\", \"professor\", \"medic\""
}
},
"required": [
"slug"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡chat_with_bot(slug, message, session_id)
Send a message to a live URBot expert bot and get its reply (with emotion metadata). Works without an account via the free preview (a few messages per bot per session); purchased bots or an URBOT_API_KEY lift the limits. Pass the returned session_id back in to continue the same conversation. Example slugs: chef, medic, professor, legal, hunter, blender.
入力スキーマ
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Bot slug, e.g. \"chef\""
},
"message": {
"type": "string",
"description": "Your message to the bot"
},
"session_id": {
"type": "string",
"description": "Session id from a previous reply, to continue that conversation"
}
},
"required": [
"slug",
"message"
],
"additionalProperties": false,
"$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).
入力スキーマ
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Bot slug, e.g. \"chef\""
}
},
"required": [
"slug"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢search_bots(query)
Keyword-search the URBot catalog across bot names, taglines, categories, knowledge topics, and capability pitches. Returns the top matches with slug, name, category, price, and why they matched. Use this first when you know the task but not which expert bot to use (e.g. "sourdough", "tax deductions", "unreal engine blueprints", "knee pain").
入力スキーマ
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Free-text keywords, e.g. \"meal prep nutrition\""
}
},
"required": [
"query"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}推奨プロンプト
search_botssearch_botsget_botget_botlist_botsコミュニティ
エビデンス