Server data from the Official MCP Registry
Conformal TCG risk forecasts + AI card grading, x402 pay-per-call oracle, on-chain soul agents.
Conformal TCG risk forecasts + AI card grading, x402 pay-per-call oracle, on-chain soul agents.
The Undesirables MCP server is a complex local-first AI agent framework with legitimate functionality (card grading, forecasting, media generation), but contains several security concerns that warrant attention. Critical issues include: (1) unsafe file I/O patterns with incomplete path traversal validation that could allow escape from the workspace directory, (2) dangerous subprocess execution via `get_hw_encoder()` that passes untrusted platform detection to shell commands without sanitization, (3) credential handling risks with Hugging Face tokens stored insecurely via `huggingface_hub.login()`, (4) unvalidated Base64 image decoding that could cause DoS via malformed input, and (5) broad file system access (read/write to user's home directory and Documents folder) without explicit user consent per file. The code quality issues compound these risks: incomplete error handling, logging of potentially sensitive data, and a truncated server.py file that prevents full analysis. While permissions align with the stated developer tools category, the implementation patterns pose real exploitation risks. Supply chain analysis found 13 known vulnerabilities in dependencies (3 critical, 5 high severity). Package verification found 1 issue.
4 files analyzed · 28 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-sailorpepe-undesirables-mcp-server": {
"args": [
"undesirables-mcp-server"
],
"command": "uvx"
}
}
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