Linear (Issue Tracking & PM) MCP Server
Manage product development via Linear — track issues, monitor sprint cycles, and audit team projects.
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What is the Linear MCP Server?
The Linear MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Linear via 8 tools. Manage product development via Linear — track issues, monitor sprint cycles, and audit team projects. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (8)
Tools for your AI Agents to operate Linear
Ask your AI agent "List all active issues assigned to me in the 'Engineering' team" and get the answer without opening a single dashboard. With 8 tools connected to real Linear data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Linear (Issue Tracking & PM) MCP Server capabilities
8 toolsGet deep context for a specific identified Linear issue tracking limit
Get active authenticated mapping validating explicit global User boundaries
List current tracking sprint cycle bounds mapping start/end limits
List recent issues mapped on Linear workspace
List global string metadata tags bounding issue categorization logic
List all explicit active mapped projects available in the workspace
List all logical team segment boundaries mapping workspace access
List all explicitly mapped workspace members validating active access limits
What the Linear (Issue Tracking & PM) MCP Server unlocks
Connect your Linear workspace to any AI agent and take full control of your issue tracking and product development lifecycle through natural conversation.
What you can do
- Issue Orchestration — List and retrieve recent issues from your workspace, including their exact workflow states and assignee tracking directly from your agent
- Deep Context Inspection — Pinpoint specific issues to extract full descriptions, assigned labels, and internal priority levels for rapid status updates
- Project Monitoring — List all active mapped projects and track their organizational scopes, active state flags, and timeline limits securely
- Sprint & Cycle Audit — Monitor current tracking sprint cycle bounds and temporal limits to understand team progress across active iteration loops
- Team Management — Enumerate all logical team boundaries and workspace members to route operational assignments and project scopes efficiently
- Workflow Taxonomy — Discover global metadata tags and labels used to categorize issues, ensuring your AI agent understands your internal organization rules
How it works
1. Subscribe to this server
2. Enter your Linear API Key
3. Start managing your product roadmap from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Software Engineers — fetch issue contexts and update task statuses through natural conversation without leaving your IDE
- Product Managers — monitor project progress and audit sprint cycles to prepare for weekly syncs and roadmap planning
- Engineering Leads — track team assignments and issue distributions across multiple projects to ensure optimized resource allocation
Frequently asked questions about the Linear (Issue Tracking & PM) MCP Server
Can I see the full context of a bug report through my agent?
Yes. Use the get_issue_details tool with a specific Issue ID or UUID. Your agent will retrieve the full description, assigned labels, and current status, helping you understand the technical requirements instantly.
How do I check the progress of the current sprint cycle?
The list_sprint_cycles tool allows your agent to retrieve current iteration boundaries and temporal limits. You can see which cycles are active and how many issues are assigned to each team grouping.
Can my agent list all members of a specific team in Linear?
Absolutely. Use the list_workspace_members tool to identify registered users. Your agent will return precise organizational mappings and IDs, making it easy to route assignment requests through natural conversation.
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Connect Linear (Issue Tracking & PM) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
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Python framework for orchestrating collaborative AI agent crews.
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Give your AI agents the power of Linear MCP Server
Production-grade Linear (Issue Tracking & PM) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.