What is MCP Linear Server?
The official Linear MCP Server, maintained by Linear, connects AI clients to a Linear workspace through the Linear GraphQL API. It supports creating and updating issues, listing projects and cycles, adding comments, and searching issues by query.
Read the full overview
Requires a Linear API key. Useful for engineering teams who want Claude to create issues from code review findings, update issue status as part of a coding workflow, or query project state to answer sprint planning questions.
Create and query Linear issues and projects from Claude
Key capabilities
Issue management
Create issues with title, description, priority, assignee, and team. Update status, add labels, set due dates, and add comments to existing issues. Archive and delete issues.
Project and cycle queries
List all projects in a workspace, query issues within a project or cycle, and retrieve team members and their current work. Useful for generating status summaries and sprint reports.
Where MCP Linear Server fits
Compatible with Claude Desktop, Cursor, Cline, and any MCP-compatible client. Install via npm (npx) or pip (uvx) depending on the server implementation language.
Positioning and limitations
A key server for teams that use Linear as their issue tracker and want Claude to bridge the gap between code and project state. Pairs with the GitHub server for a complete developer workflow from code review comment to tracked Linear issue.
MCP servers extend AI clients beyond their training data by giving them access to live systems: local files, databases, APIs, and services. Each server adds a set of typed tools the AI can call, inspect results from, and chain into multi-step workflows, all within a single conversation context.
“Create and query Linear issues and projects from Claude”
Technical details
- Access
- See vendor
- Source model
- Open source
- License
- Verify license
- Founded
- Not specified
- Pricing model
- Free
- API
- Not specified
- Website
- github.com ↗
- GitHub
- Source repository ↗
What to verify
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms.
- Validate deployment, data location and access control.
- Test integrations, exports and recovery workflows.
Install
npx -y @linear/mcp-serverReviews of MCP Linear Server
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