by tacticlaunch · MCP Server · ★ 136
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MCP Linear A Model Context Protocol (MCP) server for the Linear GraphQL API, built for real project-management workflows — not just basic issue CRUD. Features MCP Linear bridges AI assistants and Linear by implementing the MCP protocol. With it you can: Retrieve issues, projects, teams, cycles, milestones, roadmaps, customers, customer needs, and workspace/project/initiative/team/issue/release/cycle documents Create and update issues, change status, assign, and comment Manage projects, full diff-aware project and initiative update lifecycles, milestones, roadmaps, saved views, and favorites Work with templates, custom fields, webhooks, and attachments Work with customer records, customer statuses/tiers, and customer needs linked to issues or projects Read notifications, subscriptions, sessions, audits, and integrations without leaving MCP Inspect rate-limit and server health before running heavy planning sessions See [TOOLS
| Stars | 136 |
| Forks | 33 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.7443193882349/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-07 |
| Created | 2025-03-23 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~100k |
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mcp-linear is MCP server that enables AI assistants to interact with Linear project management system through natural language, allowing users to retrieve, create, and update issues, projects, and teams.. It is categorized as a MCP Server with 136 GitHub stars.
mcp-linear is primarily written in TypeScript. It covers topics such as claude, cursor, linear.
You can find installation instructions and usage details in the mcp-linear GitHub repository at github.com/tacticlaunch/mcp-linear. The project has 136 stars and 33 forks, indicating an active community.
mcp-linear is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-linear on Agent Skills Hub include cyrus, Overture, claude-talk-to-figma-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.