Cargo — the hosted MCP server

Cargo has two surfaces. The rest of this bundle documents the CLI. This one documents

https://mcp.getcargo.io/mcp

, and, more usefully, when to reach for which.

Three different things here are called MCP. This skill is the hosted server Cargo runs, which you point a client at. Publishing a curated server out of your own workspace (
ai mcp-server create
, then
cargo-ai mcp
over stdio) and attaching somebody else's server to a Cargo agent (
release update-draft --mcp-clients
) are both
cargo-ai
. Check which one the user means before answering: the words are identical and the answers share nothing.

Which surface

The job	Surface
Run one action, or one action over many records	either; MCP if it is already connected
Find what Cargo can do, and what it costs	either ( `search_actions` is the MCP half)
Read records off a model	either
Warehouse SQL, aggregates, joins	CLI ( `cargo-storage` )
Build or edit a multi-step workflow, tool, or play	CLI ( `cargo-orchestration` )
Workspace as code, plan and deploy	CLI ( `cargo-cdk` )
Provision mailboxes, warm up, send	CLI ( `cargo-mailbox-management` )
Segments, connectors, content libraries, alerts, hosting, billing admin	CLI
No shell at all (ChatGPT, Claude Desktop, claude.ai, n8n)	MCP, and say plainly what is out of reach

The rule underneath the table: MCP is the runtime, the CLI is the platform. Thirteen tools cover discovering an action, running it, watching it finish, and reading data back. Everything that builds something reusable is CLI only. An agent holding both should prefer the CLI for anything the user will want to re-run or version, and MCP for one-shot execution inside a conversation.

When the job routes to the CLI, this is the whole bootstrap:

bash

npm install -g @cargo-ai/cli
cargo-ai login --email you@company.com   # emailed code, no browser; creates the account on first use
cargo-ai whoami                          # confirm the workspace before anything that spends

Connect

The endpoint is

https://mcp.getcargo.io/mcp

, Streamable HTTP. An unauthenticated request returns

with a

WWW-Authenticate

challenge carrying

resource_metadata

, so an OAuth-capable client discovers the authorization server, registers, and prompts the user with no configuration beyond the URL. A

on first connect is the handshake, not a fault.

bash

claude mcp add --transport http cargo https://mcp.getcargo.io/mcp

Any client taking a JSON block (Claude Desktop, Cursor, a project

.mcp.json

json

{
  "mcpServers": {
    "cargo": {
      "type": "http",
      "url": "https://mcp.getcargo.io/mcp"
    }
  }
}

For CI, a headless agent, or a client with no OAuth, pass a workspace-scoped API token from Settings > API instead. Read it from the environment; never inline the value:

json

{
  "mcpServers": {
    "cargo": {
      "type": "http",
      "url": "https://mcp.getcargo.io/mcp",
      "headers": { "Authorization": "Bearer ${CARGO_API_TOKEN}" }
    }
  }
}

The tool list is not fixed. The endpoint serves the platform tools below plus whatever that workspace published with

defineMcpServer

, so two tokens can see two different lists. Read the list you actually got rather than the one documented here.

The spine

whoami                 → which workspace am I in, how many credits
search_actions         → find the action, and read its cost
get_action_schema      → what inputs it takes
autocomplete_action    → resolve a field needing a picked id (HubSpot object type, Slack channel)
execute_action         │ one record
execute_action_batch   │ many records
get_run / get_batch    → poll while outcome is "executing"

For data:

list_models

→

describe_model

→

query_models

. Alongside,

list_runs

lists recent ad-hoc runs, and

get_usage

breaks the last 7 days of credit spend down by integration.

Open every session with
whoami
. The token binds the session to exactly one workspace and there is no flag to override it. A session pointed at the wrong workspace returns plausible, confidently wrong reads: the models are real and the records are real, they just belong to somebody else. Name the workspace back to the user before acting on anything.

search_actions
prices the work before you do it. Each result carries

credits[].cost

beside the

action

object you pass verbatim to everything downstream:

json

{
  "name": "Enrich person & find email",
  "credits": [{ "cost": 0.1, "type": "fixed" }],
  "action": {
    "kind": "connector",
    "integrationSlug": "aiArk",
    "actionSlug": "enrichPerson",
    "connectorUuid": "7bb944ec-0254-44bc-b0e4-8a56378e80cf"
  }
}

Four

kind

values come back:

connector

(a third-party integration),

native

(a built-in platform operation),

tool

(a saved workflow in this workspace), and

agent

(an AI agent in this workspace). Narrow a noisy catalog with the

kind

and

integrationSlug

filters.

Three ways this goes wrong

Fanning out
execute_action
. One call per record is slower, bills more, and leaves nothing to inspect afterwards.

execute_action_batch

takes the same

action

plus a

records

array, produces one batch object, and a finished batch carries a download for its output CSV. The tool description says never to loop it: take that literally.

Spending before quoting. Run 10–20 records first, report the observed cost and hit rate, then quote the full record count and credit estimate and let the user approve. Hit rates on people data run 40 to 70 percent, so cost per usable row is not the sticker price and is not knowable without the sample. Full discipline:

../cargo-gtm/references/cost-discipline.md

query_models
mistaken for SQL. It lists records off one model with a limit and an offset. It does not aggregate, join, or filter by expression. Any question shaped like "how many", "grouped by", or "joined to" is a CLI question (

cargo-storage

). Say so, rather than pulling rows and counting them yourself, which silently truncates at the limit.

Anything that touches a person

The consent rules do not relax because the surface changed. A lawful basis, a suppression check, and relevance to that person's job gate every step that sources, enriches, or contacts someone. Bulk unsolicited messaging, purchased or scraped lists, and consumer targeting are refused. The full text is

../cargo-gtm/references/acceptable-use.md

; where no sibling skill is installed, the paragraph above binds on its own.

Reporting back

Narrate and summarize; never paste raw JSON at a user. After a batch, give the record count, the hit rate, the credits actually spent, and the download, in that order.

cargo-mcp

NPX Install

Tags

SKILL.md Content

Cargo — the hosted MCP server

Which surface

Connect

The spine

Three ways this goes wrong

Anything that touches a person

Reporting back