Server data from the Official MCP Registry
Verify a number before an agent asserts it — evals, backtests (Deflated Sharpe), signed receipts.
About
Verify a number before an agent asserts it — evals, backtests (Deflated Sharpe), signed receipts.
Security Report
numguard is a well-designed MCP server for statistical verification of claims (backtests, A/B tests, etc.) with appropriate authentication via API keys, prepaid credits, and x402 payment rails. Code quality is strong with good input validation, error handling, and no evidence of malicious patterns. Minor findings around key storage practices and optional dependency documentation do not materially affect security. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
4 files analyzed · 10 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-ipezygj-numguard": {
"args": [
"numguard"
],
"command": "uvx"
}
}
}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
