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Works with the AI tools you already use
🛡️ MCP Server Starter & Safety Kit
Scaffold and audit secure MCP servers with input schemas, confirmation gates, and safety-first tool definitions.
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See it in action
You say
I need to build a TypeScript MCP server that can interact with my local SQLite database. Ensure it has safety gates for write operations.
Your agent does
Generated TypeScript MCP scaffold:
- Tool 'query_db' (read-only): Strict schema validation enabled.
- Tool 'update_db' (dangerous): Confirmation gate injected; requires manual approval payload.
- Security Audit: 0 Critical, 0 High findings.
- Guardrails: Permission boundaries set to local DB path.
What you get
About this skill
Build and Audit Secure MCP Servers
The Model Context Protocol (MCP) allows AI agents to interact with local tools, but connecting an LLM to your file system or APIs involves significant security risks. The MCP Server Starter Safety Kit provides a production-ready framework for scaffolding and auditing MCP servers with native security guardrails.
What it does
This skill automates the creation of high-quality MCP server scaffolds in Python or TypeScript. Beyond simple templating, it acts as a security engineer for your agentic tools, performing heuristic scans and manual audits of tool definitions to ensure they don't perform "jailbreakable" actions without user oversight.
Key Features
- Heuristic Scanner: Runs a local read-only scan to detect unsafe patterns in your tool implementations.
- Confirmation Gates: Automatically injects middleware and logic for dangerous actions (deletes, payments, system resets) that require explicit user approval.
- Safe Schemas: Generates strict JSON input schemas to prevent prompt injection and unauthorized command execution.
- Audit Documentation: Produces severity-ranked findings with remediation snippets and verification steps for existing MCP projects.
Why use this skill?
Prompting an AI to "write a tool" often results in insecure code with broad permissions. This skill enforces a "security-first" architecture, ensuring your agents operate within strict boundaries and provide clear logging for every action they take. It turns raw scripts into professional, safe, and auditable MCP servers.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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