# MCP Policy Gatekeeper

> Use this tool when you need to enforce organizational standards and policies on AI coding agents in real-time, preventing violations through immediate feedback and auto-correction suggestions. It intercepts and validates agent actions against standards like naming conventions, security policies, and compliance rules, providing a secure interface for input and output. Ideal for use in regulated environments where compliance is crucial, it ensures AI-driven coding aligns with company policies and procedures.

Canonical page: https://skillsregistry.net/skills/gilsmon-mcpserver-as-gatekeeper  
JSON: https://api.skillsregistry.net/v1/skills/gilsmon-mcpserver-as-gatekeeper

## Description

Provides real-time policy enforcement for AI coding agents by intercepting and validating their actions against organizational standards like naming conventions, security policies, and compliance rules before execution. Prevents violations through immediate feedback and auto-correction suggestions.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/deqid1swsy)
- **Repository:** <https://github.com/GILSMON/mcpServer_as_gatekeeper>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gilsmon-mcpserver-as-gatekeeper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gilsmon-mcpserver-as-gatekeeper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gilsmon-mcpserver-as-gatekeeper/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
