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Analyze Linear dependencies to find the ticket unlocking the most downstream work
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PinchMCP" yet — see the docs or source repo.
Analyze the dependencies among Linear tickets for release 2.3 using dominator analysis. Identify the most critical blocking ticket and explain which downstream tasks it unlocks.
Returns one keystone ticket plus its impact scope, helping the team prioritize the release bottleneck.
Review all ticket dependencies in the current sprint in Linear, find the tickets that would unblock the most downstream work if completed first, and rank them by impact.
Outputs a ranked list of tickets by unblock value, making sprint sequencing more effective.
Analyze feature dependencies across frontend, backend, and infrastructure teams in Linear, and identify the core tickets blocking multiple teams.
Provides key cross-team dependency tickets and an overview of affected tasks to support coordination and planning.
Retrieves company context and presents it as rules, reasoning, skills, and commands.
Analyze MCP tool security risks, detect malicious behavior, and provide risk scores.
Analyze disk images with AI through MCP for fast forensic investigation.
Perform static taint analysis on Python code to detect security vulnerabilities.
Extract architecture, dependencies, and API knowledge from any codebase quickly.
Analyze GitLab projects to extract architecture knowledge for search and visualization.