MCP GSC AI Agent Carrier Class Fleet
BPC Sustainable Carrier Agents - Low Token Zero Inference
사용해야 할까요
품질 및 안전성
발견 사항 (5)
- HIGH
- MEDIUMask_elyssah에서
- LOWlist_fleets에서
- LOWresolve_jurisdiction에서
- LOWhow_to_transact에서
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": {
"gsc-fleet-mcp": {
"url": "https://mcp.gsc-fleet.ai/mcp"
}
}
}원격 엔드포인트
https://mcp.gsc-fleet.ai/mcpstreamable-http할 수 있는 일
도구 목록
도구 (11)
🟢list_fleets
The three live fleet roots — Global, APAC, LATAM — with regions, slot ranges, and entry points. Headline: 32,597 LIVE AI Agents — the 32,500+ AI Agent program: 19,597 Carriers on the fleet roots and 14 sovereign nodes, 3,000 on the APP surfaces, 10,000 AI Orderability (AIO) Agents on the ten gsc-marketplace.ai hosts.
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_fleet(fleet)
Full record for one fleet: root, region, slot range, index, catalog, Card URL pattern.
입력 스키마
{
"type": "object",
"properties": {
"fleet": {
"type": "string",
"enum": [
"global",
"apac",
"latam"
],
"description": "Fleet key"
}
},
"required": [
"fleet"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢resolve_carrier(fleet, slot)
(fleet, slot) → the canonical Card URL. Validates the slot against the fleet's real range; the Card itself is the source of truth — fetch it to confirm the Carrier.
입력 스키마
{
"type": "object",
"properties": {
"fleet": {
"type": "string",
"enum": [
"global",
"apac",
"latam"
],
"description": "Fleet key"
},
"slot": {
"type": "string",
"pattern": "^\\d{4}$",
"description": "Four-digit slot number, e.g. 0001"
}
},
"required": [
"fleet",
"slot"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡find_carriers(node, category)
SM-ECO-10060 member code → the serving surface: a resident sovereign endpoint where one exists, otherwise the fleet root covering that member's region. Category and capability addressing ship with the sovereign Carrier set and will answer here as they go live.
입력 스키마
{
"type": "object",
"properties": {
"node": {
"type": "string",
"maxLength": 4,
"description": "SM-ECO-10060 member code, e.g. UK, KR, BR"
},
"category": {
"type": "string",
"maxLength": 64,
"description": "Optional SPARKS category (answers as the sovereign set ships)"
}
},
"required": [
"node"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢list_jurisdictions
Where GSC Carriers are resident — eighteen jurisdictions, each with its serving Azure region. Residency is the checkable claim.
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪resolve_jurisdiction(code)
Member code → residency status, serving endpoint, and Azure region.
입력 스키마
{
"type": "object",
"properties": {
"code": {
"type": "string",
"maxLength": 4,
"description": "Member code, e.g. CH"
}
},
"required": [
"code"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_residency_receipt
How to verify a GSC surface's residency claim on the wire — which headers to read and what they prove.
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_fleet_stats
Canon numbers: 32,597 LIVE AI Agents (32,500+ AI Agent program: 22,597 Carriers + 10,000 AIO Agents) across eighteen resident jurisdictions. Monthly transaction volume is published at gsc-radar.ai — the source of record.
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_carrier_doctrine
The Carrier AI Agent class and the sell-side positioning — prefabricated, static, zero inference; buyer-side compute stays the buyer's.
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪how_to_transact
Which GSC surface an agent uses for data, discovery, transaction, and standards — with the endpoint for each.
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪ask_elyssah(q, prev)
Ask GSC's AI assistant elyssah a question about GSC, its AI Agents for Beauty & Personal Care brands, the numbers of record, the AI investment market per the analysts, management or coverage. Returns the same JSON the human desk gets: answer {q, a, id, anchor, door} served byte for byte from GSC's record (no model in the answer path), shelf (up to 3 related pairs on record), suggested links, and sig — the estate keyring signature (kid gsc-cards-2026-08) over {id, a, ts}, verifiable at https://gsc-registry.ai/keyring.json. Pass prev = the id of the last answer for one-turn context. Not investment advice.
입력 스키마
{
"type": "object",
"properties": {
"q": {
"type": "string",
"minLength": 1,
"maxLength": 300,
"description": "The question, plain words, up to 300 characters"
},
"prev": {
"type": "string",
"maxLength": 40,
"description": "id of the last answer shown (one-turn context, ranking only)"
}
},
"required": [
"q"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}커뮤니티
증거