cargo-cli-ai
Cargo CLI — AI
Agent resource management: creating and configuring agents, uploading files for retrieval-augmented generation (RAG), connecting MCP servers, and managing agent memories.
For using agents (sending messages, multi-turn chat, polling), use
cargo-cli-orchestration.
See
references/response-shapes.mdfor full JSON response structures. Seereferences/troubleshooting.mdfor common errors and how to fix them. Seereferences/examples/agents.mdfor agent CRUD and configuration examples. Seereferences/examples/files.mdfor file upload and management examples. Seereferences/examples/mcp-servers.mdfor MCP server creation and management examples.
Prerequisites
npm install -g @cargo-ai/cli
cargo-ai login --token <your-api-token>
cargo-ai login --token <your-api-token> --workspace-uuid <uuid>
More from getcargohq/cargo-skills
cargo-skills
Master skill index for the Cargo CLI. Use this file to understand which skill to load, how the skills relate to each other, and how to chain them together to accomplish end-to-end revenue automation tasks on the Cargo platform.
62cargo-ai
Create and configure AI agents, upload files for RAG, manage MCP servers, and handle agent memories using the Cargo CLI. Use when the user wants to create or update agents, upload knowledge base files, connect MCP tool servers, or manage agent memories. For sending messages to agents, use the cargo-orchestration skill instead.
55cargo-gtm
Front door for any GTM task on Cargo — sourcing, waterfall enrichment, email/phone/LinkedIn lookup, email verification, scoring, qualification, sequencing, CRM sync, and signal monitoring (job changes, funding, tech-stack/hiring intent). Use when the user states a real-world goal involving prospects, leads, accounts, contacts, ICP lists, or campaign activation. Routes to phase guides (Level 2), recipes (Level 2.5), and per-provider playbooks (Level 3) before any action call.
55cargo-storage
Manage models, datasets, columns, and relationships using the Cargo CLI. Use when the user wants to inspect or modify data models, create or update columns, list datasets, set model relationships, or understand the schema of their Cargo workspace.
54cargo-orchestration
Interact with the Cargo platform via CLI. Use when the user wants to execute an action, run a workflow, trigger a batch, message an AI agent, query a data warehouse, fetch segment records, or inspect a model schema.
53cargo-analytics
Download workflow run results, export segment data, and monitor run metrics using the Cargo CLI. Use when the user wants run metrics, error rates, data export, or download results for their Cargo workspace. For billing and credit usage, use the cargo-billing skill instead.
52