Linear MCP
Task management via MCP
Overview
Linear MCP is the Model Context Protocol server for Linear, the modern project management tool built for software teams. It enables AI assistants to create, update, search, and manage issues, projects, cycles, and team workflows through a standardized MCP interface.
Linear''s clean API and structured data model make it an ideal candidate for AI-assisted project management. The MCP server provides full access to Linear''s issue tracking, project planning, and team coordination features, enabling AI workflows that can triage bugs, plan sprints, update project status, and generate reports.
As a core tool in many engineering organizations'' workflows, Linear MCP is particularly valuable for teams that want to automate repetitive project management tasks while maintaining governance over who can modify project data.
Key Features
Capabilities
Linear MCP exposes 12 tools for AI agents. 1 require approval.
| Tool | Operation | Risk |
|---|---|---|
list_issuesLists issues with filters (status, assignee) | Read | Low Risk |
search_issuesSearches issues by keywords or criteria | Read | Low Risk |
create_issueCreates a new issue with title, description | Write | Medium Risk |
update_issueUpdates issue fields (status, assignee) | Write | Medium Risk |
delete_issueApprovalDeletes an issue permanently | Delete | High Risk |
create_commentAdds a comment to an issue | Write | Low Risk |
resolve_commentResolves a comment thread | Write | Low Risk |
list_projectsLists projects with filters | Read | Low Risk |
update_projectUpdates project details (milestones) | Write | Medium Risk |
list_teamsLists teams in the workspace | Read | Low Risk |
get_issueRetrieves a single issue by ID | Read | Low Risk |
list_labelsLists available labels | Read | Low Risk |
Use Cases
Strategy-Aligned Use Cases
Intelligent Bug Triage
AI assistants can analyze incoming bug reports, categorize them by severity and affected area, assign them to appropriate team members, and link related issues automatically.
Sprint Planning Assistance
Generate sprint recommendations based on team velocity, priority backlog, and upcoming deadlines. Help balance workload across team members and identify blocking dependencies.
Status Report Generation
Automatically compile project status reports by aggregating issue progress, cycle completion rates, and milestone tracking data from Linear.
Cross-Tool Workflow Automation
Connect Linear with GitHub (link PRs to issues), Slack (post updates on status changes), and other tools to create seamless development workflows orchestrated by AI.
Integrations
Considerations
- **Project Data Integrity**: Linear serves as the source of truth for engineering work. AI-initiated changes to issue status, priorities, or assignments can disrupt sprint planning and team coordination if not properly governed.
- **Bulk Operation Risks**: The ability to batch-create or batch-update issues means a single AI action could create dozens of issues or reassign an entire sprint. Rate limiting and approval workflows are essential for bulk operations.
- **Sensitive Project Information**: Linear often contains strategic product roadmaps, unannounced features, and internal prioritization decisions. AI access should be scoped to prevent leaking sensitive planning data.
- **Workflow State Management**: Moving issues through workflow states triggers automations, notifications, and integrations. AI-initiated state changes should respect team workflow conventions.
Stratafy Fit
Linear MCP is an ideal fit for Stratafy''s governance platform and a core integration for the product. As Stratafy''s own project management tool, Linear integration demonstrates the platform''s capabilities firsthand. Stratafy can govern which Linear operations different roles can perform (e.g., developers can update issues but only managers can modify project timelines), enforce approval workflows for bulk operations, and maintain audit trails of all AI-initiated project management actions. The tight integration between Stratafy and Linear also enables unique features like connecting strategic objectives to engineering execution.
