About
Date Calculator Ai MCP Server by MEOK AI Labs
Security Report
This MCP server implements date calculation tools with a metered authentication system. While the core functionality is benign and rate-limiting is present, there are several security concerns: unauthenticated network calls to external metering endpoints expose user activity to third parties without explicit consent, missing import for `timezone` causes runtime errors in rate-limiting code, and the auth check is bypassable via hardcoded key prefixes. The server's primary risk is telemetry/metering architecture rather than malicious intent, but users should be aware that API usage is transmitted to proofof.ai. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
7 files analyzed · 12 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-csoai-org-date-calculator-ai-mcp": {
"args": [
"-y",
"date-calculator-ai-mcp"
],
"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