Risk Assessment Ai Mcp
Run structured risk assessments and maintain a risk register from the agent before launch and during ops reviews.
Overview
Risk Assessment AI MCP is a MCP server for the Ship phase that lets your agent assess risks, create registers, and add risks over stdio.
What is this MCP server?
- Assess risk via MCP tools for agent-driven threat thinking
- Create risk register artifacts without leaving the IDE
- Add individual risks to an ongoing register
- PyPI risk-assessment-ai-mcp v1.0.8 with stdio transport from MEOK AI Labs
- Server version 1.0.8
- 3 advertised tools: assess risk, create risk register, add risk
- Transport: stdio; PyPI identifier risk-assessment-ai-mcp
What problem does it solve?
Founders skip consistent risk registers because spreadsheets and Notion templates do not plug into the same agent that writes their code.
Who is it for?
Solo builders shipping B2B or infra products who want lightweight GRC-style registers inside MCP workflows.
Skip if: Regulated enterprises that require certified risk frameworks, external auditor sign-off only, or no MCP tooling.
What do I get? / Deliverables
After you add the server, your agent can assess risk, spin up a risk register, and append risks you can track through ship and operate checkpoints.
- Risk assessment summaries produced via assess risk
- Initial risk register from create risk register
- Incremental risk entries from add risk during ship and operate reviews
Recommended MCP Servers
Journey fit
How it compares
Agent-callable risk register MCP, not a penetration-testing skill or cloud posture scanner.
Common Questions / FAQ
Who is risk-assessment-ai-mcp for?
Indie developers and small teams using coding agents who need structured risk assessment and register tools from MEOK AI Labs.
When should I use risk-assessment-ai-mcp?
Use it at Ship security for launch gates and again in Operate when you refresh risks; optionally during Validate scoping for early threat lists.
How do I add risk-assessment-ai-mcp to my agent?
Install risk-assessment-ai-mcp from PyPI, configure stdio MCP in your agent host, then invoke assess risk, create risk register, and add risk tools per your process.