# QVeris

Enables AI agents to find and execute external tools through natural language queries. Includes parameter validation and credit auditing.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 263
- Author: QVerisAI
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/QVerisAI/qveris-agent-toolkit/tree/HEAD/packages/mcp
- Updated: 2026-10-23
- HTML: https://affpapa.org/en/nevibecode/mcp/qveris

## What it does

The server provides an interface for discovering and running external capabilities on demand. Instead of configuring separate connections for every service, the model queries `discover` in plain language and selects candidate tools.

For verification, the server exposes `inspect` and `probe`. The `probe` step checks parameter schemas before execution. It generates zero-cost estimates without consuming balance. Actual execution runs through `call` with a preserved `search_id`. Using the server requires an active `QVERIS_API_KEY`.

## Requirements
- Needs: Node.js (commands run via npx)
- Remote server: `https://mcp.qveris.ai/mcp`
- Environment variables: `QVERIS_API_KEY`, `QVERIS_BASE_URL` — keys and tokens: ask the human for the values, never commit them or put them in shared files.

## Install

### Claude Code (native platform)

1. **Platform CLI: remote server**
```bash
claude mcp add --transport http mcp https://mcp.qveris.ai/mcp
```

2. **Platform CLI**
```bash
claude mcp add --env QVERIS_API_KEY=<QVERIS_API_KEY> --env QVERIS_BASE_URL=<QVERIS_BASE_URL> --transport stdio mcp -- npx -y @qverisai/mcp
```
Replace <…> with your own values

### Codex

1. **Platform CLI: remote server**
```bash
codex mcp add mcp --url https://mcp.qveris.ai/mcp
```

2. **Platform CLI**
```bash
codex mcp add mcp --env QVERIS_API_KEY=<QVERIS_API_KEY> --env QVERIS_BASE_URL=<QVERIS_BASE_URL> -- npx -y @qverisai/mcp
```
Replace <…> with your own values

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "mcp": {
            "url": "https://mcp.qveris.ai/mcp"
        }
    }
}
```
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "mcp": {
            "command": "npx",
            "args": [
                "-y",
                "@qverisai/mcp"
            ],
            "env": {
                "QVERIS_API_KEY": "<QVERIS_API_KEY>",
                "QVERIS_BASE_URL": "<QVERIS_BASE_URL>"
            }
        }
    }
}
```
Replace <…> with your own values

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "mcp": {
            "type": "http",
            "url": "https://mcp.qveris.ai/mcp"
        }
    }
}
```
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "mcp": {
            "type": "stdio",
            "command": "npx",
            "args": [
                "-y",
                "@qverisai/mcp"
            ],
            "env": {
                "QVERIS_API_KEY": "<QVERIS_API_KEY>",
                "QVERIS_BASE_URL": "<QVERIS_BASE_URL>"
            }
        }
    }
}
```
Replace <…> with your own values

### Gemini CLI

1. **Platform CLI: remote server**
```bash
gemini mcp add -t http mcp https://mcp.qveris.ai/mcp
```

2. **Platform CLI**
```bash
gemini mcp add -e QVERIS_API_KEY=<QVERIS_API_KEY> -e QVERIS_BASE_URL=<QVERIS_BASE_URL> mcp npx -y @qverisai/mcp
```
Replace <…> with your own values

## When to use it
- discover relevant third-party tools using natural language prompts
- validate input schemas and obtain cost quotes before running tools
- execute external capabilities through a single unified gateway
- inspect tool contracts and audit credit consumption safely

## Example prompts
- Find a weather tool and get the current forecast for Tokyo
- Run probe on the candidate tool to validate parameters without spending credits
- Execute the discovered email service using the returned search_id

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md