$ loading_
Query team drift, vulnerability, and upgrade data from any AI assistant.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "com.vibgrate/mcp" MCP server from askskill: Run: claude mcp add --transport http 'com-vibgrate-mcp' 'https://mcp.vibgrate.com'
Query all current high-risk vulnerabilities for our team and summarize them by impact scope and severity.
A summary of team vulnerability data highlighting high-risk items and their impact scope.
Check drift across the team environment and list the differences that should be prioritized first.
Outputs drift-related data and a prioritized list of differences to review.
Summarize currently available upgrade data and tell me which components are most worth upgrading first.
Provides an upgrade data summary to help identify upgrade priorities.
DevOps or platform teams can query drift, vulnerability, and upgrade data directly from their AI assistant instead of switching across systems. It fits routine checks and quick conversational investigations.
Developers can use natural language to quickly review current vulnerability and upgrade information for their team. This is useful before remediation, planning, or version evaluation.
No documentation provided
Check the source repo for usage and examples.
This is an MCP tool that lets you query your team’s drift, vulnerability, and upgrade data from any AI assistant. The description says it supports OAuth 2.1 and provides 51 tools.
Based on the provided information, it uses OAuth 2.1, so it likely requires related authentication setup. For exact installation and connection requirements, see the source repository.
Its focus is not general web search, but querying team-specific drift, vulnerability, and upgrade data. In other words, it is more oriented toward DevOps and security data access.
Review fleet-wide vulnerability and PII scan findings with natural language.
Scan MCP server configs for injections, secrets, and dangerous commands.
Let AI agents read and update Team Vault notes through MCP tools.
Enforce development guardrails, status checks, and quality gates for AI-assisted projects.
Scan codebases, model threats, review security, and generate reports with AI.
Analyze AI security, scan vulnerabilities, and monitor code leaks efficiently.