Server data from the Official MCP Registry
FastMCP server for Mixxx DJ software control via OSC protocol
About
FastMCP server for Mixxx DJ software control via OSC protocol
Security Report
This MCP server for Mixxx DJ control has reasonable architecture and legitimate permissions for its purpose, but contains multiple concerning security issues: unauthenticated access to all REST API endpoints, unsafe subprocess execution in music generation and Mixxx launcher, inadequate input validation on OSC commands, and potential for environment variable leakage in music generation pipelines. While the server is intended for local use, the lack of authentication and improper handling of subprocess calls present real exploitation vectors. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 2 high severity).
5 files analyzed · 15 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-sandraschi-mixx-dj-mcp": {
"args": [
"-y",
"mixx-dj-mcp-webapp"
],
"command": "npx"
}
}
}Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
