MCP server for soc2 compliance ai. Features assess trust principles, control gap analysis, generate control matrix. From
MCP server for soc2 compliance ai. Features assess trust principles, control gap analysis, generate control matrix. From
pip install soc2-compliance-ai-mcp
# or
uv pip install soc2-compliance-ai-mcp
Add the following to your MCP client configuration (Claude Desktop, Cursor, Cline, or any MCP-compatible host):
# Add to your MCP client config (e.g. claude_desktop_config.json):
{
"mcpServers": {
"soc2-compliance-ai-mcp": {
"command": "uvx",
"args": ["soc2-compliance-ai-mcp"]
}
}
}
References the actual regulation text from SOC 2 — not a paraphrase. When you ask about Article 9, you get Article 9.
Same input → same output. Suitable for compliance evidence packs, audits, and regulator review.
Tools are first-class. Your agent can call them by name, pass arguments, and use results in subsequent steps.
Every call is hash-chained, signed, and logged. Integrates with agent-audit-logger-mcp for tamper-evident audit trails.
Built by MEOK AI Labs (CSOAI Ltd, UK Companies House 16939677).
Source: https://github.com/CSOAI-ORG/soc2-compliance-ai-mcp
PyPI: pypi.org/project/soc2-compliance-ai-mcp
MEOK MCPs are tooling for engineering and compliance teams. They do not constitute legal advice. For final compliance decisions, consult qualified counsel in your jurisdiction.