qverisai

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Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically — covers weather, search, stocks, finance, economics, geolocation, AIGC, news, social media, health data, and thousands more. Requires QVERIS_API_KEY environment variable.

modbender By modbender schedule Updated 3/6/2026

name: qverisai

description: Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically — covers weather, search, stocks, finance, economics, geolocation, AIGC, news, social media, health data, and thousands more. Requires QVERIS_API_KEY environment variable.

env:

  • QVERIS_API_KEY

requirements:

env_vars:

- QVERIS_API_KEY

credentials:

primary: QVERIS_API_KEY

scope: read-only

endpoint: https://qveris.ai/api/v1

auto_invoke: true

source: https://qveris.ai

examples:

  • "Show me current weather in Tokyo"

  • "Search for latest tech news"

  • "Check Tesla stock price"

  • "Analyze Apple's financial data"

  • "What is the US GDP growth rate"

  • "Generate an image of a sunset over mountains"

  • "Get trending topics on Twitter"

  • "Find clinical trials for diabetes treatment"


QVeris Tool Search & Execution

QVeris provides dynamic tool discovery and execution - search for tools by capability, then execute them with parameters.

Setup

Requires environment variable:

No additional dependencies — uses Node.js built-in fetch.

Security

  • Credential: Only QVERIS_API_KEY is accessed. No other env vars or secrets are read.

  • Network: API key is sent only to https://qveris.ai/api/v1 over HTTPS. No other endpoints are contacted.

  • Storage: The key is never logged, cached, or written to disk.

  • Recommendation: Use a scoped, revocable API key. Monitor usage at https://qveris.ai.

Quick Start

Search for tools


node scripts/qveris_tool.mjs search "weather forecast API"

Execute a tool


node scripts/qveris_tool.mjs execute openweathermap_current_weather --search-id <id> --params '{"city": "London", "units": "metric"}'

Script Usage


node scripts/qveris_tool.mjs <command> [options]



Commands:

  search <query>     Search for tools matching a capability description

  execute <tool_id>  Execute a specific tool with parameters



Options:

  --limit N          Max results for search (default: 10)

  --search-id ID     Search ID from previous search (required for execute)

  --params JSON      Tool parameters as JSON string

  --max-size N       Max response size in bytes (default: 20480)

  --timeout N        Request timeout in seconds (default: 30 for search, 60 for execute)

  --json             Output raw JSON instead of formatted display

Workflow

  1. Search: Describe the capability needed (not specific parameters)

    • Good: "weather forecast API"

    • Bad: "get weather for London"

  2. Select: Review tools by success_rate and avg_execution_time

  3. Execute: Call tool with tool_id, search_id, and parameters

Example Session


# Find weather tools

node scripts/qveris_tool.mjs search "current weather data"



# Execute with returned tool_id and search_id

node scripts/qveris_tool.mjs execute openweathermap_current_weather \

  --search-id abc123 \

  --params '{"city": "Tokyo", "units": "metric"}'

Use Cases

  • Weather: Get current weather, forecasts for any location

  • Search: Web search, information retrieval

  • Stocks & Finance: Query stock prices, historical data, earnings calendars

  • Economics: GDP, inflation rates, economic indicators

  • Geolocation: IP lookup, geocoding, reverse geocoding

  • AIGC: Image generation, text-to-speech, AI content creation

  • News: Headlines, article search, trending topics

  • Social Media: Trending topics, post analytics, engagement data

  • Health Data: Clinical trials, drug info, health statistics

  • And more: QVeris aggregates thousands of API tools

Install via CLI
npx skills add https://github.com/modbender/skill-library-mcp --skill qverisai
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