Independent Report on MCP Server Reliability and Security Findings

The first independent security and reliability report on MCP servers has been published, analyzing data from 2,181 remote MCP server endpoints. The report covers reliability, security, and maintenance metrics gathered through monitoring of publicly accessible endpoints.
Key Findings from the Analysis
- 52% of remote MCP server endpoints are dead
- 300 servers have zero authentication, meaning any agent can connect
- 51% have wide-open CORS (Cross-Origin Resource Sharing) configurations
- The finance category scores lowest on trust despite handling sensitive data
- Only 42% of servers with GitHub repositories have committed code in the last 30 days
Available Resources
The full report with detailed methodology is available at yellowmcp.com/report. Developers can test their own MCP servers using the tool at yellowmcp.com/test.
📖 Read the full source: r/ClaudeAI
👀 See Also

ClawSecure: Security Platform for OpenClaw Ecosystem with 3-Layer Audit and Real-Time Monitoring
ClawSecure is a dedicated security platform for OpenClaw that performs 3-layer security audits, real-time monitoring with SHA-256 hash tracking every 12 hours, and provides full OWASP ASI coverage. It has audited 3,000+ popular skills and is free to use with no signup required.

Microsoft Hacked: Malware Planted in GitHub Repos Targets Claude and Gemini Users
Microsoft shut down 70+ GitHub repositories after hackers planted credential-stealing malware targeting AI coding agents like Claude Code and Gemini CLI.

NanoClaw's Security Model for AI Agents: Container Isolation and Minimal Code
NanoClaw implements a security architecture where each AI agent runs in its own ephemeral container with unprivileged user access, isolated filesystems, and explicit mount allowlists. The codebase is deliberately minimal at around one process and a handful of files, relying on Anthropic's Agent SDK instead of reinventing functionality.

CodeWall AI Agent Discovers Critical Vulnerabilities in McKinsey's Lilli Platform
CodeWall's autonomous offensive AI agent gained full read/write access to McKinsey's internal Lilli AI platform database within 2 hours, exposing 46.5 million chat messages, 728,000 files, and sensitive system configurations through SQL injection and IDOR vulnerabilities.