# Catalyst Governance

> Use this tool when you need to ensure AI agents operate within regulatory and compliance boundaries, automating approval workflows and preventing unauthorized actions. Catalyst Governance solves problems related to data privacy, security, and adherence to frameworks like GDPR, HIPAA, and SOC 2. It takes in AI agent requests, checks them against predefined policies, and outputs allowed, denied, or routed actions for human approval.

Canonical page: https://skillsregistry.net/skills/stratogenic-ai-catalyst-mcp  
JSON: https://api.skillsregistry.net/v1/skills/stratogenic-ai-catalyst-mcp

## Description

Catalyst puts a governance layer between AI agents and consequential actions. Before your agent writes files, sends messages, deploys code, or calls external APIs, it checks in with Catalyst. Depending on your policy, actions are allowed immediately, routed to a human for approval, or denied. Includes 8 pre-built compliance framework packs (GDPR, SOC 2, ISO 27001, HIPAA, PCI-DSS, EU AI Act, Briber

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ww3rd9g6yu)
- **Repository:** <https://github.com/Stratogenic-AI/catalyst-mcp>

## 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": "stratogenic-ai-catalyst-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stratogenic-ai-catalyst-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stratogenic-ai-catalyst-mcp/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
