Engineering · Apr 8, 2026 · 5 min read

QVeris CLI: Your Universal API Gateway from the Terminal

Q: Is QVeris CLI free to use?

Install is free. Discovery and inspection are always free — zero credit cost. Credits are only consumed when you execute a live tool call (1-100 credits per call). New users get 1,000 free credits on signup with no credit card required.

Q: What's the difference between QVeris CLI and MCP Server?

CLI is best for terminal workflows, scripts, and agent automation pipelines — it runs as a subprocess with no schema injection overhead. MCP Server is best for IDE-embedded agents like Cursor and Claude Desktop. Both connect to the same QVeris network — you can use both simultaneously.

Q: Which AI agent frameworks work with QVeris CLI?

QVeris CLI works with any agent framework that can execute shell commands: Claude Code, OpenCode, Cursor terminal, OpenClaw, and custom agent scripts. Any framework that can run a subprocess can use QVeris CLI.

Discover, inspect, and call 10,000+ APIs from your terminal — in natural language, in under 30 seconds.

qveris — Terminal

$ qveris discover "real-time stock quotes" Found 6 tools: 1. finance.stock_quote Real-time stock quotes ⚡ 320ms 99.2% 2. market.live_price Live market prices ⚡ 450ms 98.7% 3. trading.ticker_data Ticker data & history ⚡ 280ms 99.5% $ qveris inspect 1 --json $ qveris call 1 --params '{"symbol":"AAPL"}' --json

Install CLI →Read the Full Guide

Up and Running in 30 Seconds

Install

One command. No configuration needed.

$ npm install -g @qverisai/cli

Login

Interactive authentication. One and done.

$ qveris login

Discover

Search across 10,000+ capabilities.

$ qveris discover "any API you need"

Three Commands. Any API. Under 30 Seconds.

🔍 Discover

Describe what you need in plain language. QVeris semantic-matches across 10,000+ tools.

$ qveris discover "real-time stock quotes" Found 6 tools: 1. finance.stock_quote Real-time stock quotes ⚡ 320ms 99.2% 2. market.live_price Live market prices ⚡ 450ms 98.7%

✓ Search is always free — zero credit cost

📐 Inspect

Check parameters, success rate, provider notes, and cost before calling.

$ qveris inspect 1 finance.stock_quote Provider: MarketData Pro · Avg: 320ms · Success: 99.2% Parameters: symbol string (required) Stock ticker symbol exchange string (optional) Exchange code

✓ Inspection is always free

⚡ Call

Execute and get structured JSON results. Built for automation from day one.

$ qveris call 1 --params '{"symbol":"AAPL"}' { "symbol": "AAPL", "price": 198.52, "change": +2.31, "volume": 45230100 }

1–100 credits per call. Credits never expire.

CLI vs MCP Server: Which Should You Use?

Both connect your agent to QVeris. The right choice depends on your workflow.

	CLI	MCP Server
Best for	Terminal, scripts, agent shell calls	IDE agents (Cursor, Claude Code)
Install	One-line npm install	IDE configuration
Token cost	~50–100 tokens per command	Schema injection scales with tool count
Token savings	Up to 80% vs MCP	Baseline
Output	Human-friendly + --json	MCP protocol format
Interaction	REPL, pipes, scripts	IDE-embedded chat
Recommended for	Agent automation pipelines	Cursor / Claude Desktop

CLI and MCP aren't mutually exclusive — use CLI for automation, MCP for IDE workflows. Both connect to the same QVeris network.

Everything You Need, Nothing You Don't

🔍

Natural Language Search

Describe what you need. QVeris semantic-matches across 10,000+ tools. No API names to memorize. No documentation hunting.

💻

Code Generation

qveris codegen curl|python|javascript generates ready-to-use API call code for your project in seconds.

🤖

Agent-Optimized

--json output + stdin pipes + structured exit codes. Built for automation from day one — not bolted on as an afterthought.

⚡

Zero-Config Setup

One-line npm install. Interactive qveris login. From zero to productive in 30 seconds. No YAML, no config files, no environment variables.

🖥

Interactive REPL

qveris interactive opens an exploratory shell to discover and test APIs conversationally — like a playground for API exploration.

🩺

Built-in Diagnostics

qveris doctor checks Node.js version, API key validity, and network connectivity in one command. Debug in seconds, not hours.

Built for Every Workflow

🖥 Developer Daily Workflow

Verify API responses without leaving the terminal. Run codegen to paste production-ready code directly into your project.

$ qveris discover "geocoding API" $ qveris call 1 --params '{"address":"SF"}' $ qveris codegen python

🤖 Agent Automation Pipelines

Let your AI agent discover and call APIs through shell pipes — zero schema injection overhead.

$ qveris discover "weather forecast" --json --limit 1 | \ jq -r ".results[0].tool_id" | \ xargs -I {} qveris call {} --json

📊 Batch Data Collection

Combine with shell pipes for batch operations across multiple inputs — one loop, unlimited symbols.

$ for symbol in AAPL GOOGL MSFT; do qveris call finance.stock_quote \ --params "{\"symbol\":\"$symbol\"}" --json done | jq -s "."

Command Reference

Command	Description	Cost
`qveris discover <query>`	Natural language API search	Free
`qveris inspect <id>`	View tool details, params, examples	Free
`qveris call <id>`	Execute a tool and get results	1–100 credits
`qveris interactive`	Start interactive REPL	—
`qveris login / logout`	Authentication management	—
`qveris credits`	Check remaining balance	—
`qveris doctor`	Check Node.js, API key, connectivity	—
`qveris codegen`	Generate curl/Python/JS snippets	—
`qveris usage`	View usage audit history	—

All commands support --json output · --api-key override · --timeout

Frequently Asked Questions

What is QVeris CLI?

QVeris CLI is a command-line tool that lets developers and AI agents discover, inspect, and execute 10,000+ API capabilities using natural language — from any terminal, without documentation hunting or boilerplate code. It runs as a subprocess, which means zero tool schema injection into LLM context windows.

How does QVeris CLI reduce LLM prompt tokens?

Unlike MCP Server which injects full tool schemas into LLM context (often thousands of tokens for 50+ tools), CLI runs as a subprocess — one shell command in, JSON result out. This cuts prompt token overhead by up to 80% compared to MCP at scale, because tool schemas never enter the LLM context window. The agent only sees the structured JSON result, not the tool definition.

Is QVeris CLI free to use?

Install is free. Discovery and inspection are always free — zero credit cost. Credits are only consumed when you execute a live tool call (1–100 credits per call). New users get 1,000 free credits on signup with no credit card required. Credits never expire.

What's the difference between QVeris CLI and MCP Server?

CLI is best for terminal workflows, scripts, and agent automation pipelines — it runs as a subprocess with no schema injection overhead. MCP Server is best for IDE-embedded agents like Cursor and Claude Desktop where tool schemas need to be in the context window. Both connect to the same QVeris network — you can use both simultaneously depending on the workflow.

Which AI agent frameworks work with QVeris CLI?

QVeris CLI works with any agent framework that can execute shell commands: Claude Code, OpenCode, Cursor terminal, OpenClaw, and custom agent scripts. Any framework that can run a subprocess can use QVeris CLI — there is no SDK dependency, no language-specific binding required.