About
Lead Scoring Ai MCP Server by MEOK AI Labs
Security Report
This MCP server implements B2B lead scoring with authentication and rate limiting. However, there are several security concerns: (1) suspicious network calls to an external metering service (proofof.ai) that transmit API keys and tool names, creating potential data exfiltration and credential exposure risks; (2) in-memory storage with no persistence means data loss on restart, conflicting with the tool descriptions claiming these are write operations; (3) misleading documentation in tool docstrings claiming "read-only" for tools that actually modify internal state; (4) reliance on a shared auth middleware file with hardcoded file paths that may not exist in user environments; (5) the rate limiter implementation is ineffective because the in-memory `_usage` dict is not persistent across server restarts. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
7 files analyzed · 17 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-lead-scoring-ai-mcp": {
"args": [
"-y",
"lead-scoring-ai-mcp"
],
"command": "npx"
}
}
}Reviews
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