QVeris Agent Toolkit

v1.0.0Developer Toolsstable

Open-source toolkit for the QVeris capability routing network: CLI, MCP server, Python SDK, skills, and REST API docs for agents to discover, inspect, call, and audit real-world tools.

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What is QVeris Agent Toolkit?

QVeris Agent Toolkit is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to open-source toolkit for the qveris capability routing network: cli, mcp server, python sdk, skills, and rest api docs for agents to discover, inspect, call, and audit real-world tools.

Open-source toolkit for the QVeris capability routing network: CLI, MCP server, Python SDK, skills, and REST API docs for agents to discover, inspect, call, and audit real-world tools.

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Open-source toolkit for the QVeris capability routing networ

Use Cases

Discover and call real-world tools through capability routing.
Inspect tool signatures and audit agent actions.
Build OpenClaw-compatible agent systems.
QVerisAI

Maintainer

LicenseMIT
Languagejavascript
Versionv1.0.0
UpdatedMay 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx qveris-agent-toolkit

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use QVeris Agent Toolkit

QVeris Agent Toolkit is an open-source SDK and MCP server for the QVeris capability routing network, which provides AI agents with access to 10,000+ real-world tools spanning finance, search, weather, maps, documents, social media, blockchain, and healthcare — all accessible through a single authenticated API. The toolkit exposes a CLI, Python SDK, MCP server, and REST API so agents can discover tools by description, inspect their parameter schemas, call them with typed parameters, and audit usage through an execution ledger. Agents get 1,000 starter credits for free and can rely on 99.99% uptime with sub-500ms average latency.

Prerequisites

  • A QVeris account and API key (free signup at https://qveris.ai/account?page=api-keys includes 1,000 starter credits)
  • Node.js 16+ for the npm CLI installation, or Python 3.8+ for the Python SDK
  • An MCP-compatible client such as Claude Desktop for the MCP server integration
  • The QVERIS_API_KEY environment variable set to your API key
1

Sign up and get your API key

Create a free account at qveris.ai and navigate to Account → API Keys to generate your QVERIS_API_KEY. Your account starts with 1,000 free credits.

2

Install the QVeris CLI

Install the CLI globally via npm or using the install script.

npm install -g @qverisai/cli
# or via curl:
curl -fsSL https://qveris.ai/cli/install | bash
3

Install the MCP server package

Install the QVeris MCP server package from npm.

npm install -g @qverisai/mcp
4

Set your API key

Export your QVeris API key so both the CLI and MCP server can authenticate.

export QVERIS_API_KEY=your-api-key-here
5

Add the MCP server to Claude Desktop

Register the QVeris MCP server in your Claude Desktop configuration file.

{
  "mcpServers": {
    "qveris": {
      "command": "npx",
      "args": ["@qverisai/mcp"],
      "env": {
        "QVERIS_API_KEY": "your-api-key-here"
      }
    }
  }
}
6

Discover and test available capabilities

Use the CLI to search for tools, inspect their schemas, and make a test call before using them through Claude.

qveris discover "weather forecast API"
qveris inspect 1
qveris call 1 --params '{"wfo":"LWX","x":90,"y":90}'

QVeris Agent Toolkit Examples

Client configuration

Claude Desktop config for the QVeris MCP server with QVERIS_API_KEY authentication.

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

Prompts to try

Prompts that leverage QVeris's 10,000+ tool catalog through Claude.

- "Use QVeris to get the current weather forecast for Washington DC."
- "Search the QVeris catalog for blockchain tools and show me their parameter schemas."
- "Call the QVeris finance tool to look up the latest price and market cap for Bitcoin."

Troubleshooting QVeris Agent Toolkit

Authentication error: QVERIS_API_KEY invalid or missing

Check that QVERIS_API_KEY is set in your environment or in the env block of your MCP config. Retrieve the key from https://qveris.ai/account?page=api-keys and ensure there are no extra spaces when pasting it.

qveris command not found after npm install

Make sure your global npm bin directory is on your PATH. Run 'npm bin -g' to find the directory and add it to your shell profile (e.g., ~/.zshrc or ~/.bashrc).

Tool call returns an error about insufficient credits

Check your credit balance with 'qveris ledger'. Free accounts start with 1,000 credits. Purchase additional credits via the QVeris dashboard at qveris.ai.

Frequently Asked Questions about QVeris Agent Toolkit

What is QVeris Agent Toolkit?

QVeris Agent Toolkit is a Model Context Protocol (MCP) server that open-source toolkit for the qveris capability routing network: cli, mcp server, python sdk, skills, and rest api docs for agents to discover, inspect, call, and audit real-world tools. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install QVeris Agent Toolkit?

Follow the installation instructions on the QVeris Agent Toolkit GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with QVeris Agent Toolkit?

QVeris Agent Toolkit works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is QVeris Agent Toolkit free to use?

Yes, QVeris Agent Toolkit is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "qveris-agent-toolkit": { "command": "npx", "args": ["-y", "qveris-agent-toolkit"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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