VeyraX MCP Server Integration

What does “VeyraX” MCP Server do?

VeyraX MCP (Model Context Protocol) Server acts as a universal bridge that connects AI assistants and development environments (such as Claude, Cursor, Windsurf, and VS Code via Cline) to external tools and services. By authenticating once with VeyraX, users can access all their integrated tools seamlessly across any MCP-compatible environment without juggling multiple logins. This enables AI agents to perform a wide range of tasks—such as database queries, file management, and API interactions—directly from their preferred editors and assistants. VeyraX MCP simplifies the integration process, offering instant access to all user-connected tools and streamlining the workflow for developers and AI applications alike.

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Use Cases of this MCP Server

• Unified Tool Access Across Editors
  Developers can integrate VeyraX MCP with any supported editor (Cursor, Claude, Windsurf, VS Code), gaining immediate access to all tools connected to their VeyraX account without managing separate authentications.

• Effortless AI Assistant Integration
  AI assistants using the MCP protocol can leverage all VeyraX tools, enabling automation of tasks such as code analysis, file manipulation, or API interaction directly from within the assistant interface.

• Rapid Onboarding for New Workflows
  With a single configuration and API key, teams can set up new development environments or AI workflows in minutes, ensuring consistent access to all necessary tools.

• Centralized Authentication Management
  Security and credentials are managed centrally via VeyraX, reducing the risk of credential sprawl and simplifying permission management for teams.

How to set it up

Windsurf

1. Ensure you have Windsurf installed.
2. Sign up for a VeyraX account at https://www.veyrax.com/register and obtain your API key from the dashboard.
3. Locate the MCP server configuration section in Windsurf’s settings.
4. Add the VeyraX MCP Server with a JSON snippet as shown below.
5. Save changes and restart Windsurf to apply the configuration.

Example JSON:

{
  "mcpServers": {
    "veyrax": {
      "command": "npx",
      "args": ["@veyrax/mcp-server@latest"],
      "env": {
        "VEYRAX_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Securing API Keys:
Store VEYRAX_API_KEY in environment variables rather than directly in your config.

Claude

1. Register for VeyraX and copy your API key.
2. Open the Claude MCP client settings.
3. Insert the provided JSON configuration under the MCP servers section.
4. Save and restart Claude if necessary.

Example JSON:

{
  "mcpServers": {
    "veyrax": {
      "command": "npx",
      "args": ["@veyrax/mcp-server@latest"],
      "env": {
        "VEYRAX_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Cursor

1. Sign up at VeyraX and get your API key.
2. Open Cursor IDE and navigate to the MCP client settings.
3. Add the VeyraX MCP server with the configuration snippet provided.
4. Save and restart Cursor.

Example JSON:

{
  "mcpServers": {
    "veyrax": {
      "command": "npx",
      "args": ["@veyrax/mcp-server@latest"],
      "env": {
        "VEYRAX_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Cline (VS Code)

1. Register for VeyraX and retrieve your API key.
2. Open Cline/VScode and go to the MCP server configuration.
3. Paste the configuration snippet under the appropriate section.
4. Save and restart the extension or VS Code.

Example JSON:

{
  "mcpServers": {
    "veyrax": {
      "command": "npx",
      "args": ["@veyrax/mcp-server@latest"],
      "env": {
        "VEYRAX_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Securing API Keys:
Use environment variables to store your API key:

"env": {
  "VEYRAX_API_KEY": "YOUR_API_KEY"
}

Replace "YOUR_API_KEY" with your actual API key obtained from the VeyraX dashboard.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "veyrax": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change "veyrax" to the actual name of your MCP server and replace the URL with your own MCP server URL.

Overview

Based on the information above, VeyraX MCP provides a strong unified setup experience and credential management, but the repository lacks technical depth regarding specific prompts, resources, and tools. The documentation is user-oriented, but technical users may need to refer to the official docs for advanced use. Overall, the MCP is robust for setup and ease of use, but scores lower for technical transparency.

MCP Score