MCP GSC AI Agent Carrier Class Fleet MCP Server

by greencore-solutions Your server? Claim it

answering

MCP GSC AI Agent Carrier Class Fleet is answering right now. Last checked 15 min ago. It exposes 11 tools. Last commit 17 Sep 2026.

BPC Sustainable Carrier Agents - Low Token Zero Inference

Uptime history 48 days of history

48 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

245 ms

Response time

average over 24h

Stars

last commit 17 Sep 2026

What changed 18

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 23 August 2026. No other catalogue keeps this.

17 Sep 5 tools changed the parameters they ask for ask_elyssah, find_carriers, get_fleet and 2 more

17 Sep a tool changed version

10 Sep a tool appeared ask_elyssah

10 Sep a tool changed version

26 Aug a tool description was rewritten get_fleet_stats

24 Aug a tool changed version2 times that day

23 Aug 2 tool descriptions were rewritten get_fleet_stats, list_fleets

23 Aug a tool changed version

22 Aug 3 tool descriptions were rewritten get_fleet_stats, list_fleets, list_jurisdictions

22 Aug a tool changed version

and 1 more, back to 23 August 2026

What the code does

We read the source, 23 h ago · tools taken from the live server · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Reads files and sends them to the network server.js:37

for (const f of __fsV4.readdirSync(new URL("./ghost-v4/", import.meta.url))) {

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add gsc-fleet-mcp --transport http https://mcp.gsc-fleet.ai/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "gsc-fleet-mcp": {
      "url": "https://mcp.gsc-fleet.ai/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.gsc-fleet-mcp]
url = "https://mcp.gsc-fleet.ai/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "gsc-fleet-mcp": {
      "url": "https://mcp.gsc-fleet.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "gsc-fleet-mcp": {
      "url": "https://mcp.gsc-fleet.ai/mcp"
    }
  }
}

Available tools 11

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

fleet

get_fleet

Full record for one fleet: root, region, slot range, index, catalog, Card URL pattern.

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.

resolve

resolve_carrier

(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.

resolve_jurisdiction

Member code → residency status, serving endpoint, and Azure region.

ask

ask_elyssah

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.

carrier

get_carrier_doctrine

The Carrier AI Agent class and the sell-side positioning — prefabricated, static, zero inference; buyer-side compute stays the buyer's.

carriers

find_carriers

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.

fleets

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.

how

how_to_transact

Which GSC surface an agent uses for data, discovery, transaction, and standards — with the endpoint for each.

jurisdictions

list_jurisdictions

Where GSC Carriers are resident — eighteen jurisdictions, each with its serving Azure region. Residency is the checkable claim.

residency

get_residency_receipt

How to verify a GSC surface's residency claim on the wire — which headers to read and what they prove.

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.gsc-fleet.ai/mcp	streamable-http	answering	286 ms	15 min ago

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MCP GSC AI Agent Carrier Class Fleet — questions

Answers built from our own checks of this server.

What can MCP GSC AI Agent Carrier Class Fleet do?

It exposes 11 tools, read directly from the server on our last check. Among them: ask_elyssah, find_carriers, get_carrier_doctrine, get_fleet, get_fleet_stats, get_residency_receipt and 5 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

What is MCP GSC AI Agent Carrier Class Fleet mostly used for?

Its tools cluster around fleet and resolve. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is MCP GSC AI Agent Carrier Class Fleet working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 245 ms. The bar chart above shows every period we have measured.

How do I connect MCP GSC AI Agent Carrier Class Fleet?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does MCP GSC AI Agent Carrier Class Fleet need an API key?

No. MCP GSC AI Agent Carrier Class Fleet completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 11 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is MCP GSC AI Agent Carrier Class Fleet?

It answers our handshake in 245 ms on average, which is faster than 58% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is MCP GSC AI Agent Carrier Class Fleet open source?

We cannot say either way: written in JavaScript and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.