MCP Server Safety Checklist
Automated security auditing and risk assessment for Model Context Protocol (MCP) servers.
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Works with the AI tools you already use
See it in action
You say
Run a security scan on my local MCP server directory at ./my-mcp-server and summarize the risks.
Your agent does
[!] CRITICAL: Tool 'delete_database' has destructive permissions. [!] WARNING: Potential secret exposure in 'config.ts' (matched pattern: API_KEY). [!] INFO: Tool 'fetch_data' requires external network access to api.github.com. [PASS] mcp.json structure is valid. [PASS] No hardcoded .env access found.
What you get
About this skill
Secure Your MCP Integrations
The Model Context Protocol (MCP) gives AI agents powerful capabilities, but it also creates new security vectors. This skill provides a specialized safety audit for MCP servers, ensuring that your agents aren't inadvertently granted overreaching permissions or exposed to sensitive data leaks.
What it does
It performs an automated, local-only scan of your MCP server implementation to identify risks before you deploy or connect them to an LLM. Key capabilities include:
- Tool Permission Audit: Flags tools with write, delete, or execute capabilities that could be misused.
- Exposure Detection: Identifies logic that accesses .env files, private keys, or configuration secrets.
- Network Analysis: Maps external API dependencies and network exposure patterns.
- Config Validation: Ensures your mcp.json files meet security best practices and structure requirements.
Why use this skill?
Prompting an AI to "check my code" often misses the specific nuances of the MCP safety model. This skill uses a structured checklist designed specifically for the protocol's architecture. It operates entirely offline, meaning your source code and configurations never leave your local environment, making it safe for proprietary enterprise projects.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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