MCP.Market

QVeris MCP server

online · 100% uptime
by QVerisAI·io.github.QVerisAI/mcp·v0.15.0·262 stars
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Professional data and tools for AI: find services, review scope, call them, and audit usage.

A96/100grade A
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Safety scan
A96/100

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Adoption
Established

262 stars158 downloads/wk

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QVeris tools

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How QVeris compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
96/100
higher than 98% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
690 ms
faster than 20% of 30,031 servers
GitHub stars
262
more than 95% of 28,688 servers
Downloads a week
158
more than 71% of 12,191 servers with a package

Release history: 2 versions in the registry since 2026-09-10, latest 2026-10-23, typically one every 43 days.

Install QVeris in Claude Code, Cursor or VS Code

claude mcp add --transport http mcp https://mcp.qveris.ai/mcp
Add to Cursor

What the publisher says

From the QVeris repository's README, as published. We do not edit it. Read it 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

🇺🇸 English · 🇨🇳 简体中文

  • Professional data and tools across finance, search, weather, maps, documents, and more
  • Discover / Call is the default path; Inspect and Probe are 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.
  • Discover is free. Call returns 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

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

QVeris: common questions

Is QVeris MCP server safe?
Yes, by our scan: it is graded A (96/100). Read the QVeris safety report
How do I install QVeris?
It runs remotely at mcp.qveris.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does QVeris need an API key?
Yes. The registry entry asks for QVERIS_API_KEY.
Is QVeris maintained?
The last commit was 23 days ago (2026-10-12). The latest release is v0.15.0.
Is QVeris up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does QVeris compare with other MCP servers?
safety score 96/100 (higher than 98% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 690 ms (faster than 20% of 30,031 servers). Full comparison.