bots
150+ vertical AI expert bots as agent tools. $1 bots run on YOUR machine - your data stays yours.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (2)
- HIGH
- MEDIUMin get_bot
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"bots": {
"url": "https://urbot.net/mcp"
}
}
}Remote-Endpunkte
https://urbot.net/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (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 $1). Optionally filter by category (e.g. education, health, finance, legal, technology, outdoor, 3d-modeling, game-dev, 3d-printing, media). Use the returned slug with get_bot, chat_with_bot, or get_skill. URBot bots keep your data yours - each one is downloadable and runs locally.
Eingabe-Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional category filter, case-insensitive (e.g. \"education\")"
}
},
"additionalProperties": false,
"$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.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Bot slug, e.g. \"chef\", \"professor\", \"medic\""
}
},
"required": [
"slug"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡chat_with_bot(slug, message, session_id)
Send a message to a live URBot expert bot and get its reply (with emotion metadata). Works without an account via the free preview (a few messages per bot per session); purchased bots or an URBOT_API_KEY lift the limits. Pass the returned session_id back in to continue the same conversation. Example slugs: chef, medic, professor, legal, hunter, blender.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Bot slug, e.g. \"chef\""
},
"message": {
"type": "string",
"description": "Your message to the bot"
},
"session_id": {
"type": "string",
"description": "Session id from a previous reply, to continue that conversation"
}
},
"required": [
"slug",
"message"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🔴get_skill(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).
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Bot slug, e.g. \"chef\""
}
},
"required": [
"slug"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢search_bots(query)
Keyword-search the URBot catalog across bot names, taglines, categories, knowledge topics, and capability pitches. Returns the top matches with slug, name, category, price, and why they matched. Use this first when you know the task but not which expert bot to use (e.g. "sourdough", "tax deductions", "unreal engine blueprints", "knee pain").
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Free-text keywords, e.g. \"meal prep nutrition\""
}
},
"required": [
"query"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}Empfohlene Prompts
search_botssearch_botsget_botget_botlist_botsCommunity
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