# mcpscc

> mcpscc — gensecaihq-mcpscc. Use this tool when you need to secure AI agents and MCP systems by mapping exposure paths and detecting toxic flows. It solves problems related to security vulnerabilities and compliance by providing a local-only, telemetry-free solution with features like cross-surface graphing and policy-as-code. Input your MCP server, skill, and memory chain configurations to generate a visual representation of potential security risks and outputs for remediation.

Canonical page: https://skillsregistry.net/skills/gensecaihq-mcpscc  
JSON: https://api.skillsregistry.net/v1/skills/gensecaihq-mcpscc

## Description

Security for AI agents & MCP — map how MCP servers, skills, and memory chain into exposure paths. Toxic-flow detection, cross-surface graph, drift & policy-as-code. Local-only, no telemetry.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/gensecaihq/mcpscc)

## 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": "gensecaihq-mcpscc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gensecaihq-mcpscc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gensecaihq-mcpscc/pull`

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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