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Kintsugi
Octa
Optimizely
PraizApideck CLI.
One command away.
Access to 200+ connectors. No loading screens. No code generation. Just your accounting and ERP data at the speed of a command.
$brew install apideck-libraries/tap/apideckBuilt for developers and agents
A CLI that works the way you think — discover, inspect, execute. And costs 17x less tokens when your AI agent does the same.
Agent-Optimized
~80 tokens for the full agent prompt. Progressive discovery via --list and --help keeps context windows lean — 17x cheaper than MCP for the same operations.
Zero Dependencies
No SDK, no code generation. The CLI parses the OpenAPI spec at startup and builds the full command tree dynamically. Always in sync with the API.
Structural Safety
Read operations auto-approved. Writes require confirmation. Deletes are blocked by default. Baked into the binary — no prompt can override it.
Interactive TUI Explorer
Run apideck explore for a full interactive API playground in your terminal. Browse resources, inspect schemas, and test calls — no browser needed.
Smart Output
Tables for humans in a TTY, JSON for pipes. Switch between json, yaml, csv, and table with --output. Filter fields with --fields.
Works with Any Agent
Every agent framework has shell execution. No MCP client required. Works with Claude Code, Cursor, ChatGPT, custom agents — anything with a terminal.
Discover, execute, automate
The CLI mirrors how developers actually work. Start broad, drill down, take action.
Discover
Browse all API groups and resources with --list and --help. Progressive discovery keeps it simple.
Execute
Run any operation. Tables for humans, JSON for pipes. Same normalized data across all connectors.
Automate
"total": 8200, "status": "open" }
Pipe into jq, script with bash, or let your AI agent chain commands. No SDK needed.
CLI vs MCP: the numbers
Both connect AI agents to your APIs. The CLI does it with 17x fewer tokens.
| CLI | MCP | |
|---|---|---|
| Tokens per operation | ~80 | ~3,600 |
| Monthly cost (10K ops) | $3.20 | $55.20 |
| Context overhead | Zero | 72% window burned |
| Auth exposure | Never visible | In tool schema |
| Agent framework support | Any (shell exec) | MCP clients only |
| Streaming / bi-directional | No | Yes |
| Per-user OAuth flows | Via config | Native support |
Based on Scalekit benchmark data — 75 head-to-head tests across identical operations.
Get started in seconds
Install the CLI, set your API key, and start querying.
Agent integration
One command to make your AI agent fluent in Apideck.
Permission engine
--yes--force