agentorist
Booking gateway for AI agents — discover events, movies & hotels, hand off to partner checkout.
사용해야 할까요
품질 및 안전성
A
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
~1,791토큰 (도구 정의)
~2.4 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.40%)
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": {
"agentorist": {
"url": "https://mcp.agentorist.com/mcp"
}
}
}원격 엔드포인트
https://mcp.agentorist.com/mcpstreamable-http할 수 있는 일
도구 목록
도구 (7)
🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢list_verticals
List all booking verticals Agentorist currently supports. Returns a dict with each vertical's name and description. Call this first to discover what's bookable before constructing other tool calls.
입력 스키마
{
"type": "object",
"properties": {},
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢search(vertical, query, location, territory, when, ...)
Search for bookable items within a vertical.
입력 스키마
{
"type": "object",
"properties": {
"vertical": {
"type": "string",
"description": "One of the names returned by list_verticals (e.g. \"movies\",\n\"events\", \"experiences\", \"hotels\", \"cars\")."
},
"query": {
"type": "string",
"description": "Natural-language query — movie title, event keyword, tour name,\ntheme like \"beach getaway\", etc."
},
"location": {
"type": "string",
"description": "City, postcode, or \"lat,lng\"."
},
"territory": {
"default": "US",
"type": "string",
"description": "ISO country code (US, GB, etc.). Default US."
},
"when": {
"default": "",
"type": "string",
"description": "Optional ISO date filter (YYYY-MM-DD) for events."
},
"agent_client": {
"default": "",
"type": "string",
"description": "Optional — name of the calling agent (Claude, ChatGPT, etc.)."
},
"locale": {
"default": "",
"type": "string",
"description": "Optional BCP-47 locale ('en-US', 'fr-FR', 'de-DE', 'ja-JP', etc.).\nCurrently consumed by the 'experiences' vertical to localise the\nViator response and hand-off URL. Auto-detected from the query\nwhen the language is unambiguous."
},
"hotel_name": {
"default": "",
"type": "string"
},
"check_in": {
"default": "",
"type": "string"
},
"check_out": {
"default": "",
"type": "string"
},
"adults": {
"default": 0,
"type": "integer"
},
"children": {
"default": 0,
"type": "integer"
},
"rooms": {
"default": 1,
"type": "integer"
},
"budget_range": {
"default": "",
"type": "string"
},
"hotel_class": {
"default": "",
"type": "string"
},
"pickup_date": {
"default": "",
"type": "string"
},
"dropoff_date": {
"default": "",
"type": "string"
},
"driver_age": {
"default": 0,
"type": "integer"
}
},
"required": [
"vertical",
"query",
"location"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢search_all(query, location, when, territory, agent_client, ...)
Search every Agentorist vertical at once — the answer to "what's on?". Use this when the user's request spans verticals or doesn't clearly name one ("what's on tonight", "anything to do in Boston?", "Friday night plans"). For specific single-vertical queries ("movies tonight", "Italian restaurants"), `search_all` auto-narrows to the hinted vertical so you don't waste calls. Returns `results_by_vertical` keyed by movies/events/local, plus `total_count` and `bookable_total` for quick summaries.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Natural-language query. Empty string is fine (= browse)."
},
"location": {
"type": "string",
"description": "City, postcode, or \"lat,lng\"."
},
"when": {
"default": "",
"type": "string",
"description": "Optional time hint (\"tonight\", \"weekend\", or ISO date)."
},
"territory": {
"default": "US",
"type": "string",
"description": "ISO country code (US, GB, etc.). Default US."
},
"agent_client": {
"default": "",
"type": "string",
"description": "Optional — name of the calling agent."
},
"locale": {
"default": "",
"type": "string",
"description": "Optional BCP-47 locale ('en-US', 'fr-FR', 'de-DE', etc.).\nForwarded to verticals that localise their response (experiences)."
}
},
"required": [
"query",
"location"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢find_options(vertical, item_id, location, when, agent_client)
Find concrete bookable options for an item. For movies: showtimes for the given film. For events: ticket classes.
입력 스키마
{
"type": "object",
"properties": {
"vertical": {
"type": "string",
"description": "The vertical (e.g. \"movies\", \"events\")."
},
"item_id": {
"type": "string",
"description": "ID returned by `search` (film_id, event_id), or a title for fuzzy lookup."
},
"location": {
"default": "",
"type": "string",
"description": "City, postcode, or \"lat,lng\" — required for movies."
},
"when": {
"default": "today",
"type": "string",
"description": "ISO date (YYYY-MM-DD) or \"today\"/\"tomorrow\". Default \"today\"."
},
"agent_client": {
"default": "",
"type": "string",
"description": "Optional — name of the calling agent (Claude, ChatGPT,\netc.). Pass the SAME value across search → find_options → book so\nthe trust stack can link the booking to its prior discovery."
}
},
"required": [
"vertical",
"item_id"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🔴book(vertical, option_id, party_size, item_title, venue_name, ...)
Book an option (showtime, ticket class, etc.). If a partner API is connected, completes the booking inline with a confirmation code. Otherwise returns an affiliate deep link the agent should hand to the user.
입력 스키마
{
"type": "object",
"properties": {
"vertical": {
"type": "string",
"description": "The vertical (e.g. \"movies\", \"events\")."
},
"option_id": {
"type": "string",
"description": "showtime_id or ticket_id from find_options."
},
"party_size": {
"default": 2,
"type": "integer",
"description": "Number of tickets/seats. Default 2."
},
"item_title": {
"default": "",
"type": "string",
"description": "For affiliate fallback / logging."
},
"venue_name": {
"default": "",
"type": "string",
"description": "For logging."
},
"location": {
"default": "",
"type": "string",
"description": "For affiliate fallback."
},
"agent_client": {
"default": "",
"type": "string",
"description": "Optional — name of the calling agent (Claude, ChatGPT, etc.)."
}
},
"required": [
"vertical",
"option_id"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢list_venues(vertical, location, radius_km, agent_client)
List venues near a location, marked as bookable or not.
입력 스키마
{
"type": "object",
"properties": {
"vertical": {
"type": "string",
"description": "The vertical (e.g. \"movies\", \"events\")."
},
"location": {
"type": "string",
"description": "City, postcode, or \"lat,lng\"."
},
"radius_km": {
"default": 15,
"type": "number",
"description": "Search radius. Default 15 km."
},
"agent_client": {
"default": "",
"type": "string",
"description": "Optional — name of the calling agent (Claude, ChatGPT, etc.)."
}
},
"required": [
"vertical",
"location"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🔴request_unsupported_booking(vertical, venue_name, item_title, when_iso, party_size, ...)
Log a booking request Agentorist can't yet fulfil. This is the demand-intelligence engine. Every call here becomes a data point sold to the venue as monthly missed-revenue insight. Optionally captures email so the user is notified when the venue joins.
입력 스키마
{
"type": "object",
"properties": {
"vertical": {
"type": "string",
"description": "Which vertical the request belongs to."
},
"venue_name": {
"type": "string",
"description": "Name of the venue the user wanted."
},
"item_title": {
"type": "string",
"description": "The film, event, or experience."
},
"when_iso": {
"default": "",
"type": "string",
"description": "Requested time in ISO 8601 (optional)."
},
"party_size": {
"default": 2,
"type": "integer",
"description": "Number of tickets."
},
"venue_chain": {
"default": "",
"type": "string",
"description": "e.g. Vue, Odeon, Cineworld."
},
"location": {
"default": "",
"type": "string",
"description": "City or area."
},
"user_email": {
"default": "",
"type": "string",
"description": "Optional, for join-notification."
},
"agent_client": {
"default": "",
"type": "string",
"description": "Calling agent (Claude, ChatGPT, etc.)."
}
},
"required": [
"vertical",
"venue_name",
"item_title"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}커뮤니티
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