MCP GSC AI Agent Carrier Class Fleet
BPC Sustainable Carrier Agents - Low Token Zero Inference
我该使用它吗
质量与安全性
发现（5）
- HIGHTool poisoning patterns detected
- MEDIUMTool description contains URL to non-standard domain在 ask_elyssah 中
- LOWTool 'list_fleets' description lacks action verb在 list_fleets 中
- LOWTool 'resolve_jurisdiction' description lacks action verb在 resolve_jurisdiction 中
- LOWTool 'how_to_transact' description lacks action verb在 how_to_transact 中
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"gsc-fleet-mcp": {
"url": "https://mcp.gsc-fleet.ai/mcp"
}
}
}远程端点
https://mcp.gsc-fleet.ai/mcpstreamable-http它能做什么
工具清单
工具（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.
输入模式
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_fleet(fleet)
Full record for one fleet: root, region, slot range, index, catalog, Card URL pattern.
输入模式
{
"type": "object",
"properties": {
"fleet": {
"type": "string",
"enum": [
"global",
"apac",
"latam"
],
"description": "Fleet key"
}
},
"required": [
"fleet"
],
"$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.
输入模式
{
"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.
输入模式
{
"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"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢list_jurisdictions
Where GSC Carriers are resident — eighteen jurisdictions, each with its serving Azure region. Residency is the checkable claim.
输入模式
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪resolve_jurisdiction(code)
Member code → residency status, serving endpoint, and Azure region.
输入模式
{
"type": "object",
"properties": {
"code": {
"type": "string",
"maxLength": 4,
"description": "Member code, e.g. CH"
}
},
"required": [
"code"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_residency_receipt
How to verify a GSC surface's residency claim on the wire — which headers to read and what they prove.
输入模式
{
"type": "object",
"properties": {},
"$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.
输入模式
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_carrier_doctrine
The Carrier AI Agent class and the sell-side positioning — prefabricated, static, zero inference; buyer-side compute stays the buyer's.
输入模式
{
"type": "object",
"properties": {},
"$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.
输入模式
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪ask_elyssah(q, prev)
Ask GSC's AI assistant elyssah a question about GSC, its AI Agents for Beauty & Personal Care brands, the numbers of record, the AI investment market per the analysts, management or coverage. Returns the same JSON the human desk gets: answer {q, a, id, anchor, door} served byte for byte from GSC's record (no model in the answer path), shelf (up to 3 related pairs on record), suggested links, and sig — the estate keyring signature (kid gsc-cards-2026-08) over {id, a, ts}, verifiable at https://gsc-registry.ai/keyring.json. Pass prev = the id of the last answer for one-turn context. Not investment advice.
输入模式
{
"type": "object",
"properties": {
"q": {
"type": "string",
"minLength": 1,
"maxLength": 300,
"description": "The question, plain words, up to 300 characters"
},
"prev": {
"type": "string",
"maxLength": 40,
"description": "id of the last answer shown (one-turn context, ranking only)"
}
},
"required": [
"q"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}社区
证据