cargo-ai

Solid

Build and configure AI agents inside Cargo — create an agent, choose its model and temperature, write its prompt, attach knowledge for retrieval (RAG), connect MCP tool servers, manage memories, and deploy releases. Triggers: "create an agent", "make an agent that", "give the agent our docs", "attach this knowledge base", "attach this library to the agent", "add resources to the agent release", "connect an MCP server", "expose our tools as an MCP server", "use Cargo from Claude Desktop or ChatGPT", "change the agent model", "what does the agent remember", "deploy the agent", "the agent is answering wrong". Skip when: uploading the knowledge files themselves — use cargo-content; sending the agent a message or running it over records — use cargo-orchestration.

AI & Automation 17 stars 3 forks Updated today MIT

Install

Quality Score: 86/100

Stars 20%

42

Recency 20%

100

Frontmatter 20%

70

Documentation 15%

100

Issue Health 10%

80

License 10%

100

Description 5%

100

Skill Content

# Cargo CLI — AI Agent resource management: creating and configuring agents, attaching knowledge for retrieval-augmented generation (RAG), connecting MCP servers, and managing agent memories. > For *using* agents (sending messages, multi-turn chat, polling), use `cargo-orchestration`. > For uploading knowledge **files** and building knowledge **libraries** (the `content` domain), use [`cargo-content`](../cargo-content/SKILL.md). This skill covers how that knowledge attaches to an agent. > For workspace administration — folders (used to organize agents and files), users, API tokens, roles, and submitting reports when the CLI fails — use [`cargo-workspace-management`](../cargo-workspace-management/SKILL.md). > See `references/response-shapes.md` for full JSON response structures. > See `references/troubleshooting.md` for common errors and how to fix them. > See `references/examples/agents.md` for agent CRUD and configuration examples. > See `references/examples/mcp-servers.md` for MCP server creation and management examples. ## Bootstrap Already signed in (`cargo-ai whoami` returns a workspace)? Skip to the next section. ```bash npm install -g @cargo-ai/cli # no global install? prefix every command with `npx @cargo-ai/cli` cargo-ai login --email you@company.com # emailed code, no browser; creates the account on first use # alternatives: --oauth (browser) · --token <api-token> (CI) cargo-ai whoami ...

Details

Author: getcargohq
Repository: getcargohq/cargo-skills
Created: 6 months ago
Last Updated: today
Language: TypeScript
License: MIT

Integrates with

OpenAI · AI Model Context Protocol · AI npm · DevTools

Bundled in these plugins

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Drive Cargo from its hosted MCP server at https://mcp.getcargo.io/mcp — connect a client, discover and price an action, run it over one record or a batch, poll it, and read workspace models, with no CLI install. Also when to call an MCP tool instead of shelling out to `cargo-ai`. Triggers: "connect Cargo to Claude Desktop", "add Cargo to ChatGPT", "Cargo MCP server", "mcp.getcargo.io", "use Cargo without installing anything", "which Cargo tool do I call", "search_actions", "execute_action_batch", "MCP server is showing the wrong workspace". Tools: whoami, search_actions, get_action_schema, execute_action, execute_action_batch, get_run, query_models. Skip when: you have a shell and the job is a workflow, a CDK deploy, warehouse SQL, or a mailbox — use the CLI skills; when publishing an MCP server out of your own workspace or attaching one to a Cargo agent — use cargo-ai.

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