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Search and analyze AI incident cases for research, risk review, and safety assessment.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Ai Incident Db" MCP server from askskill: Run: claude mcp add --transport http 'io-github-pipeworx-io-ai-incident-db' 'https://gateway.pipeworx.io/ai-incident-db/mcp'
Search the AI Incident Database for incidents related to generative AI hallucinations, harmful advice, or misleading outputs. Sort them by time and summarize the context, impact, and key lesson of each case.
A list of relevant incidents with a timeline and concise analysis for each case.
We are designing an AI assistant for customer support. Find incidents in the AI Incident Database related to support automation, wrong responses, bias, or privacy leakage, then turn them into a risk list with mitigation suggestions.
Relevant incident cases, categorized risks, and actionable mitigation recommendations for the product.
Using the AI Incident Database, compile AI incidents from the last five years involving facial recognition misidentification, identify common issue types, and draft a literature-style overview for a research report.
A compiled incident summary, common issue pattern analysis, and a report-ready overview paragraph.
Classify AI incidents and track EU compliance reporting deadlines in one place
Safely query databases in plain English, generate SQL, and schedule alerts.
Safely query SQL and NoSQL databases through AI with zero setup.
Automate red-teaming and reliability audits for AI agents through MCP.
Run IDAPython via AI in IDA Pro for binary analysis and reverse engineering.
Search workplace incident data, analyze trends, and draft corrective actions.