MCP Server Safety Checklist
Automated security auditing and risk assessment for Model Context Protocol (MCP) servers.
$15
Works with the AI Agents you already use
MCP Server Safety Checklist
Example session with this skill installed
Run a security scan on my local MCP server directory at ./my-mcp-server and summarize the risks.
- Read your context and instructions
- Compiled the mcp server safety
[!] 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.
Connects securely to your tools. The creator never sees your data.
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.
- Static analysis only; cannot detect runtime vulnerabilities.
- Heuristic-based; may produce false positives on generic tool names.
- Does not monitor active network traffic.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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Security scan passed 6 months ago
- Software
- Safety Checklist MCP
Python