QVeris

MCP server · by QVerisAI

Developer Tools npmStreamable HTTP v0.15.0

Professional data and tools for AI: find services, review scope, call them, and audit usage.

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Install

Pin version registry version 0.15.0

npm
npx -y @qverisai/mcp

npm
npx -y @qverisai/mcp@0.15.0

Streamable HTTP
https://mcp.qveris.ai/mcp

Setup by client

Pick your client — the config below is generated for this server (both local and hosted-endpoint forms). Copy respects the “Pin version” switch above.

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-990": {
      "command": "npx",
      "args": [
        "-y",
        "@qverisai/mcp"
      ],
      "env": {
        "QVERIS_API_KEY": "<YOUR_QVERIS_API_KEY>"
      }
    }
  }
}

{
  "mcpServers": {
    "mcp-990": {
      "command": "npx",
      "args": [
        "-y",
        "@qverisai/mcp@0.15.0"
      ],
      "env": {
        "QVERIS_API_KEY": "<YOUR_QVERIS_API_KEY>"
      }
    }
  }
}

Remote (hosted) endpoint

https://mcp.qveris.ai/mcp

Claude Desktop: Settings → Connectors → Add custom connector, paste this URL.

Format verified against the official Claude Desktop docs ↗.

terminal

claude mcp add --env QVERIS_API_KEY=<YOUR_QVERIS_API_KEY> mcp-990 -- npx -y @qverisai/mcp

claude mcp add --env QVERIS_API_KEY=<YOUR_QVERIS_API_KEY> mcp-990 -- npx -y @qverisai/mcp@0.15.0

terminal

claude mcp add --transport http mcp-990 https://mcp.qveris.ai/mcp

Format verified against the official Claude Code docs ↗.

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-990": {
      "command": "npx",
      "args": [
        "-y",
        "@qverisai/mcp"
      ],
      "env": {
        "QVERIS_API_KEY": "<YOUR_QVERIS_API_KEY>"
      }
    }
  }
}

{
  "mcpServers": {
    "mcp-990": {
      "command": "npx",
      "args": [
        "-y",
        "@qverisai/mcp@0.15.0"
      ],
      "env": {
        "QVERIS_API_KEY": "<YOUR_QVERIS_API_KEY>"
      }
    }
  }
}

.cursor/mcp.json (hosted endpoint)

{
  "mcpServers": {
    "mcp-990": {
      "url": "https://mcp.qveris.ai/mcp"
    }
  }
}

Format verified against the official Cursor docs ↗.

.vscode/mcp.json

{
  "servers": {
    "mcp-990": {
      "command": "npx",
      "args": [
        "-y",
        "@qverisai/mcp"
      ],
      "env": {
        "QVERIS_API_KEY": "<YOUR_QVERIS_API_KEY>"
      }
    }
  }
}

{
  "servers": {
    "mcp-990": {
      "command": "npx",
      "args": [
        "-y",
        "@qverisai/mcp@0.15.0"
      ],
      "env": {
        "QVERIS_API_KEY": "<YOUR_QVERIS_API_KEY>"
      }
    }
  }
}

.vscode/mcp.json (hosted endpoint)

{
  "servers": {
    "mcp-990": {
      "type": "http",
      "url": "https://mcp.qveris.ai/mcp"
    }
  }
}

Format verified against the official VS Code docs ↗.

mcp_config.json

{
  "mcpServers": {
    "mcp-990": {
      "command": "npx",
      "args": [
        "-y",
        "@qverisai/mcp"
      ],
      "env": {
        "QVERIS_API_KEY": "<YOUR_QVERIS_API_KEY>"
      }
    }
  }
}

{
  "mcpServers": {
    "mcp-990": {
      "command": "npx",
      "args": [
        "-y",
        "@qverisai/mcp@0.15.0"
      ],
      "env": {
        "QVERIS_API_KEY": "<YOUR_QVERIS_API_KEY>"
      }
    }
  }
}

mcp_config.json (hosted endpoint)

{
  "mcpServers": {
    "mcp-990": {
      "serverUrl": "https://mcp.qveris.ai/mcp"
    }
  }
}

Format verified against the official Windsurf docs ↗.

Environment variables

Defined in the server's official registry manifest. Required secrets are shown as <YOUR_…> placeholders in the configs above.

QVERIS_API_KEY required secret — QVeris API key (create one at https://qveris.ai)
QVERIS_BASE_URL — Override the built-in API base URL with a complete HTTP(S) API root

GitHub

⭐ 262 stars · 最近更新于 17 天前 · MIT license

About this server

/ QVeris Agent Toolkit Bring professional data to the AI you already use. QVeris is a professional data and tool access platform for AI. This open source toolkit provides the CLI, MCP…

Summary from the project README — github.com/QVerisAI/qveris-agent-toolkit

Distributed as npm, Streamable HTTP, listed under Developer Tools. Review our MCP security guide before granting access to real data.

Frequently asked questions

What does the QVeris MCP server do?

/ QVeris Agent Toolkit Bring professional data to the AI you already use. QVeris is a professional data and tool access platform for AI. This open source toolkit provides the CLI, MCP

How do I install QVeris?

Run the install command shown above, then paste the config for your client (Claude Desktop, Claude Code, Cursor, VS Code or Windsurf) into its MCP settings and restart the client.

Is QVeris free to use?

The MCP server itself is free to install. The source is public on https://github.com/QVerisAI/qveris-agent-toolkit. Any third-party service it calls may require its own API key and account.

Which clients support QVeris?

Any MCP-compatible client can use it, including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and custom agents.

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Publish this server? Link back with a badge on your README or site — copy either snippet.

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