How to Use QVeris in Cursor: MCP Setup Guide

Why Connect QVeris to Cursor?

✗ Without QVeris

AI only knows your codebase
Can't access live data or external APIs
You write boilerplate for every integration
AI guesses API responses from training data
Each new data source = new integration work

✓ With QVeris

AI discovers 10,000+ real APIs on demand
Live stock, crypto, weather, news in IDE
Zero boilerplate — QVeris handles auth & routing
Real API responses, not training data guesses
New capability = one natural language request

QVeris connects to Cursor via MCP Server — the same protocol Cursor uses for all tool integrations. Setup takes under 5 minutes.

How QVeris Works Inside Cursor

💬

You Ask Cursor

Type a request in Cursor's AI chat:
"Get the current Bitcoin price and format it for my dashboard"

→

🔀

QVeris MCP Routes

Cursor sends the request to QVeris. QVeris discovers the best capability, inspects parameters, and executes against a verified provider.

→

✓

Live Data Returns

Structured JSON flows back. Your AI uses live data to complete the task — with real numbers, not training data estimates.

Set Up QVeris in Cursor: Step by Step

Takes less than 5 minutes. No credit card required.

Get Your QVeris API Key

Sign up at qveris.ai — free account includes 1,000 credits. No credit card required. Navigate to Account → API Keys → Create New Key.

① Go to qveris.ai/account?page=api-keys ② Click「Create API Key」 ③ Copy your key: qv-xxxxxxxxxxxxxxxxxxxx

Open Cursor MCP Settings

In Cursor, open Settings and navigate to the MCP configuration section.

Cursor MCP Config

# Navigate to: Cursor → Settings → MCP → Add Server # Or edit directly: ~/.cursor/mcp.json

Add QVeris MCP Server Config

Add the QVeris MCP Server configuration to your Cursor MCP settings file.

~/.cursor/mcp.json

{ "mcpServers": { "qveris": { "command": "npx", "args": ["-y", "@qverisai/mcp"], "env": { "QVERIS_API_KEY": "your-api-key-here" } } } }

Replace your-api-key-here with the key you copied in Step 01.

Restart Cursor and Verify

Restart Cursor to load the QVeris MCP Server. Then verify the connection in Cursor's AI chat.

Cursor AI Chat

# Type this in Cursor AI chat: "Check my QVeris connection and show available capabilities" # Expected response: ✓ QVeris MCP Server connected ✓ 10,000+ capabilities available ✓ Credits remaining: 1,000 ✓ Ready to discover and call tools

See It in Action

Real examples of what you can ask Cursor to do after connecting QVeris.

📈

"Fetch AAPL, MSFT, GOOGL prices and create a comparison table"

✓ Live market data

🌤

"Get current weather in Tokyo and format it as a JSON object"

✓ Real-time weather

💱

"Convert 10,000 USD to JPY, EUR, and GBP at current rates"

✓ Live forex rates

₿

"Get BTC, ETH, SOL prices and calculate my portfolio value"

✓ Live crypto data

📰

"Find the latest news about OpenAI and summarize key points"

✓ Real-time news

📄

"Get Apple's latest earnings data and add it to my analysis file"

✓ SEC filing data

CLI or MCP Server for Cursor?

	MCP Server	CLI
Best for	Cursor inline AI chat	Cursor terminal / scripts
Setup	mcp.json config	npm install
How it works	Tool schemas in context	Subprocess command
Output	Inline in chat	Terminal + --json
Token cost	Schema injection	~50–100 tokens
Recommendation	✓ Cursor AI chat	✓ Cursor terminal

Pro tip: Use both. MCP Server for inline AI chat requests, CLI in Cursor's integrated terminal for scripts and automation. Same QVeris account and API key for both.

Common Setup Issues

MCP Server not showing

① Check mcp.json syntax with a JSON validator
② Ensure npx is installed: npx --version
③ Restart Cursor completely (not just reload)
④ Check Cursor Settings → MCP for errors

API key not recognized

① Verify key starts with qv- prefix
② Check for extra spaces when copying
③ Confirm key is active at qveris.ai/account
④ Create a new key if issue persists

Tool calls returning errors

① Check credit balance at qveris.ai/account
② Verify network connectivity to qveris.ai
③ Check execution logs: Account → Usage
④ Try the call in Live Demo first: qveris.ai/playground

Frequently Asked Questions

How do I install QVeris in Cursor?

Add the QVeris MCP Server to your Cursor MCP settings by editing ~/.cursor/mcp.json with the QVeris server config. Set your QVERIS_API_KEY environment variable, restart Cursor, and the integration is ready. Full setup takes under 5 minutes — see the step-by-step guide above.

What can QVeris do inside Cursor?

After connecting QVeris, your Cursor AI can discover and call 10,000+ real-world capabilities — including live stock prices, crypto data, weather, forex rates, news feeds, SEC filings, OCR, document processing, and more — directly from your AI chat panel while you code. No leaving the IDE. No writing API boilerplate.

Is QVeris MCP Server free to use in Cursor?

The MCP Server itself is free and open source. Discovery and inspection are always free — zero credit cost. Credits are consumed only when you execute live tool calls (1–100 credits per call). New accounts get 1,000 free credits on signup with no credit card required.

What's the difference between MCP Server and CLI for Cursor?

MCP Server integrates directly into Cursor's AI chat — your AI can call tools inline as it responds to you. CLI runs in Cursor's integrated terminal as a subprocess. Both connect to the same QVeris network. Most Cursor users benefit from running both simultaneously — MCP for chat, CLI for scripts.

Does QVeris work with Cursor's Agent mode?

Yes. QVeris MCP Server works with all Cursor modes including Agent mode. In Agent mode, Cursor can autonomously discover and call QVeris capabilities as part of multi-step coding workflows — fetching live data, processing it, and writing it directly into your codebase.

How to Use QVeris in Cursor: Give Your AI Access to 10,000+ Real Tools如何在 Cursor 中使用 QVeris：为您的 AI 提供 10,000+ 真实工具