MCP server

MCP GSC AI Agent Carrier Class Fleet

io.github.greencore-solutions/gsc-fleet-mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

BPC Sustainable Carrier Agents - Low Token Zero Inference

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

11

Token cost

About 1,341 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"gsc-fleet-mcp":{"type":"http","url":"https://mcp.gsc-fleet.ai/mcp"}}}

Antigravity

agy mcp add gsc-fleet-mcp https://mcp.gsc-fleet.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"gsc-fleet-mcp","server_url":"https://mcp.gsc-fleet.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"gsc-fleet-mcp","server_url":"https://mcp.gsc-fleet.ai/mcp"}

Tools

• ask_elyssah ~286 tokens
  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 r
• find_carriers ~183 tokens
  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.
• get_carrier_doctrine ~82 tokens
  The Carrier AI Agent class and the sell-side positioning — prefabricated, static, zero inference; buyer-side compute stays the buyer's.
• get_fleet ~94 tokens
  Full record for one fleet: root, region, slot range, index, catalog, Card URL pattern.
• get_fleet_stats ~104 tokens
  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.
• get_residency_receipt ~72 tokens
  How to verify a GSC surface's residency claim on the wire — which headers to read and what they prove.
• how_to_transact ~73 tokens
  Which GSC surface an agent uses for data, discovery, transaction, and standards — with the endpoint for each.
• list_fleets ~131 tokens
  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-mar
• list_jurisdictions ~79 tokens
  Where GSC Carriers are resident — eighteen jurisdictions, each with its serving Azure region. Residency is the checkable claim.
• resolve_carrier ~148 tokens
  (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 ~89 tokens
  Member code → residency status, serving endpoint, and Azure region.

Browse

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