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QVeris

QVeris is an MCP server that adds developer tools to AI assistants such as Claude Desktop, Claude Code and Cursor. Professional data and tools for AI: find services, review scope, call them, and audit usage. It has 263 GitHub stars, is released under the MIT license and runs locally with npx -y @qverisai/mcp.

github.com/QVerisAI/qveris-agent-toolkit (opens in a new tab)

Data as of from the GitHub API and the official MCP registry; description from the project's repository. Report an error

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Install QVeris

Generated from the server's MCP registry entry. Replace your-value with your own values.

Claude Desktop

claude_desktop_config.json
{
  "mcpServers": {
    "qveris": {
      "command": "npx",
      "args": [
        "-y",
        "@qverisai/mcp"
      ],
      "env": {
        "QVERIS_API_KEY": "your-value"
      }
    }
  }
}

Settings > Developer > Edit Config. macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Restart Claude Desktop afterwards.

Claude Code

claude mcp add --env QVERIS_API_KEY=your-value --transport stdio qveris -- npx -y @qverisai/mcp

Cursor

.cursor/mcp.json
{
  "mcpServers": {
    "qveris": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@qverisai/mcp"
      ],
      "env": {
        "QVERIS_API_KEY": "your-value"
      }
    }
  }
}

Project file; use ~/.cursor/mcp.json to enable it in every project.

VS Code

.vscode/mcp.json
{
  "inputs": [
    {
      "type": "promptString",
      "id": "qveris_api_key",
      "description": "QVERIS_API_KEY",
      "password": true
    }
  ],
  "servers": {
    "qveris": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@qverisai/mcp"
      ],
      "env": {
        "QVERIS_API_KEY": "${input:qveris_api_key}"
      }
    }
  }
}

Claude Code (remote)

claude mcp add --transport http qveris "https://mcp.qveris.ai/mcp"

The same server is also hosted as a remote MCP endpoint, so nothing runs on your machine.

Config formats checked against the official docs on Oct 7, 2026: modelcontextprotocol.io (opens in a new tab), code.claude.com (opens in a new tab), cursor.com (opens in a new tab), code.visualstudio.com (opens in a new tab).

Environment variables

Variables the server reads at startup.

NameRequiredDescription
QVERIS_API_KEYsecretYesQVeris API key (create one at https://qveris.ai)
QVERIS_BASE_URLNoOverride the built-in API base URL with a complete HTTP(S) API root

Tools (35)

Parsed from the Tools section of the README; check the repository for the current list.

  • discover

    Discover available tools based on natural language queries.

  • query

    string

  • limit

    number

  • session_id

    string

  • view

    string

  • lang

    string

  • inspect

    Optionally inspect tools when selection or valid request construction depends on missing/stale contract details, or…

  • tool_ids

    array

  • search_id

    string

  • probe

    Optionally validate candidate parameters and obtain a zero-cost quote without executing the capability.

  • tool_id

    string

  • checks

    array

  • live_budget

    string

  • call

    Call a discovered tool with specific parameters.

  • params_to_tool

    object

  • model

    string

  • max_response_size

    number

  • respond_with

    string

  • require_zero_quote

    boolean

  • lookup_execution

    Read-only query for the outcome associated with a prior Call. It takes idempotencykey and never submits Execute.

  • usage_history

    Context-safe request-level usage audit. Defaults to aggregated summary mode.

  • mode

    string

  • start_date

    string

  • end_date

    string

  • bucket

    string

  • execution_id

    string

  • charge_outcome

    string

  • min_credits

    number

  • max_credits

    number

  • credits_ledger

    Context-safe final credit ledger query. Defaults to aggregated summary mode.

  • entry_type

    string

  • direction

    string

  • search_tools

    discover

  • get_tools_by_ids

    inspect

  • execute_tool

    call

About QVeris

Official QVeris MCP Server — Dynamically search and execute tools via natural language. This SDK provides a Model Context Protocol (MCP) server that enables LLMs to discover and execute third-party tools through the QVeris API. With a small set of tools, your AI assistant can:

  • ai-agent
  • openclaw
  • plugin
  • qveris
  • tool-calling
  • typescript
  • ai-tools
  • cli
  • developer-tools
  • mcp

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FAQ

QVeris FAQ

Still curious? Email info@appsgit.com.

How do I install the QVeris MCP server?

Add the command npx -y @qverisai/mcp to your MCP client: put it in claude_desktop_config.json for Claude Desktop, run claude mcp add for Claude Code, or add it to .cursor/mcp.json (Cursor) or .vscode/mcp.json (VS Code). The snippets on this page are ready to paste.

Is QVeris free?

The server is open source under the MIT license, so running it is free. It needs credentials (QVERIS_API_KEY) for the service it connects to, which may require a paid account.

Is QVeris actively maintained?

The most recent commit was on Oct 23, 2026. The latest release is mcp-v0.15.0, published Oct 23, 2026. appsgit only lists MCP servers with a commit in the last six months.