Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"vagrant-mcp-server": {
"args": [
"-y",
"@modelcontextprotocol/inspector"
],
"command": "npx"
}
}
}Are you the author?
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This is work in progress and not yet ready for use.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@modelcontextprotocol/inspector' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
MCP Inspector is Vulnerable to Potential Command Execution via XSS When Connecting to an Untrusted MCP Server
An XSS flaw exists in the MCP Inspector local development tool when it renders a redirect URL returned by a remote MCP server. If the Inspector connects to an untrusted server, a crafted redirect can inject script into the Inspector context and, via the built-in proxy, be leveraged to trigger arbitrary command execution on the developer machine. Version 0.16.6 hardens URL handling/validation and prevents script execution. > Thank you to the following researchers for their reports and contributi
MCP Inspector proxy server lacks authentication between the Inspector client and proxy
Versions of MCP Inspector below 0.14.1 are vulnerable to remote code execution due to lack of authentication between the Inspector client and proxy, allowing unauthenticated requests to launch MCP commands over stdio. Users should immediately upgrade to version 0.14.1 or later to address these vulnerabilities. Credit: Rémy Marot <bughunters@tenable.com>
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[!CAUTION] This is work in progress and not yet ready for use.
A Model Context Protocol (MCP) Server implementation for HashiCorp Vagrant that provides AI agents with the ability to create and manage development VMs with synchronized filesystems and seamless command execution capabilities.
Note: This server must be run directly on the host where Vagrant and your virtualization provider (e.g., VirtualBox, libvirt) are installed. Running inside Docker is not supported, as the server needs direct access to the Vagrant CLI, virtualization drivers, and your project files.
Here are example prompts you can use with AI assistants to demonstrate the server's capabilities:
You can verify that Vagrant is installed correctly by running:
vagrant --version
Download the latest release for your platform from the Releases page:
| Platform | Architecture | Download |
|---|---|---|
| Linux | x86_64 | vagrant-mcp-server-linux-amd64 |
| Linux | ARM64 | vagrant-mcp-server-linux-arm64 |
| macOS | Intel | vagrant-mcp-server-darwin-amd64 |
| macOS | Apple Silicon | vagrant-mcp-server-darwin-arm64 |
| Windows | x86_64 | vagrant-mcp-server-windows-amd64.exe |
Installation steps:
# Download the appropriate binary for your platform
curl -L -o vagrant-mcp-server https://github.com/vagrant-mcp/server/releases/latest/download/vagrant-mcp-server-linux-amd64
# Make it executable (Linux/macOS)
chmod +x vagrant-mcp-server
# Move to your PA
... [View full README on GitHub](https://github.com/gitrgoliveira/vagrant-mcp-server#readme)