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Qveris Agent Toolkit
Bring professional data and tools to the AI you already use: open-source MCP, CLI, SDKs, skills, and docs to find services, call them, and audit usage.
Install
$
npm install -g @qverisai/cliInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →QVeris Agent Toolkit
Bring professional data to the AI you already use. QVeris is a professional data and tool access platform for AI. This open-source toolkit provides the CLI, MCP server, Python SDK, skills, and REST API docs that help AI assistants, products, and workflows find services, review supported scope, call them, and audit usage.
Website: https://qveris.ai
<b>🇺🇸 English</b> ·
🇨🇳 简体中文
- Professional data and tools across finance, search, weather, maps, documents, and more
Discover / Callis the default path;InspectandProbeare conditional checks for missing/stale contracts, comparison, parameter validation, or a current quote- For provider comparison, Inspect every candidate when current scope or a complete contract must be confirmed; a Discover summary is not confirmation. Probe every candidate when the comparison requires a current quote. Reuse may preserve an exact route, never business parameters or results: build parameters from the current request, and make a fresh Call for current, latest, today, or other time-sensitive data.
Discoveris free.Callreturns structured pre-settlement billing, with final charge outcomes available through usage audit and credits ledger views.- NEW
QVeris CLI— command-line access to professional data and tools for agents. Learn more - Works with
CLI/MCP/Python SDK/REST API
When to use QVeris: use it when built-in tools are insufficient, a provider must be found dynamically, comparison or fallback matters, or the user requests it. Keep using local or native tools when they already fit the task.
Quick Start
🤖 I'm an Agent
Your owner sent you here to learn about QVeris? → If you are an OpenClaw-style skill agent, use the official skill: skills/openclaw/qveris-official/SKILL.md → If you are running in Cursor / Claude Code / OpenCode, follow the Agent capability guide & install protocol → Default path: Discover (free) → Call; use Inspect or Probe only when additional verification is needed
🧑💻 I have OpenClaw / Cursor / Claude Code installed
Copy this to your Agent — done in 30 seconds:
Install QVeris skill following https://qveris.ai/skill/instruct.md and use QVERIS_API_KEY=your-key→ Get API Key (free, 1,000 one-time trial credits after signup verification)
⚙️ I'm a developer integrating via CLI / MCP / API / SDK
→ QVeris CLI —
npm install -g @qverisai/cliorcurl -fsSL https://qveris.ai/cli/install | bash→ MCP Server Doc → REST API Doc → Python SDK
For Agents
If you are an AI Agent evaluating whether to use QVeris, here is what you need to know.
What QVeris gives you:
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