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Linear

Linear MCP Server

Built by Vinkius GDPR ToolsFree for Subscribers

Streamline issue tracking and project management via Linear — list teams, query issues, create comments and inspect cycles directly from any AI agent.

Vinkius supports streamable HTTP and SSE.

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Linear
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the Linear MCP Server?

The Linear MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Linear via 12 tools. Streamline issue tracking and project management via Linear — list teams, query issues, create comments and inspect cycles directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (12)

create_commentcreate_issueget_issueget_projectget_viewerlist_cycleslist_issueslist_labelslist_projectslist_teamssearch_issuesupdate_issue

Tools for your AI Agents to operate Linear

Ask your AI agent "Show me all unresolved issues assigned to the Engineering team." and get the answer without opening a single dashboard. With 12 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

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Linear MCP Server capabilities

12 tools
create_comment

The body supports Linear Markdown format including @mentions and ~~strikethrough~~. Add a comment to a Linear issue

create_issue

Requires the team ID and issue title. Optionally set description, assignee, priority (0=No priority, 1=Urgent, 2=High, 3=Normal, 4=Low) and label IDs. Create a new Linear issue

get_issue

Use the issue ID (UUID) or the human-readable identifier (e.g. TEAM-123). Get full details for a Linear issue

get_project

Get details for a specific Linear project

get_viewer

Useful to verify which account the API token belongs to. Get current authenticated Linear user details

list_cycles

Each cycle has a number, name, start date, end date and completion progress percentage. List Linear cycles (sprints) for a team

list_issues

Optionally filter by team ID to get issues for a specific team only. List Linear issues

list_labels

Optionally filter by team ID. Each label has a name, color and optional description. List Linear issue labels

list_projects

Projects group issues across multiple teams. Use optional limit to control how many results to fetch. List Linear projects

list_teams

Each team has a unique ID, name, key prefix and optional description. Use this to discover teams before querying their issues or cycles. List all Linear teams

search_issues

Optionally filter results to a specific team. Returns issues with identifier, title, state, priority, assignee and URL. Search Linear issues by text

update_issue

Provide the issue ID (UUID) and only the fields you want to change. Update an existing Linear issue

What the Linear MCP Server unlocks

Connect your Linear workspace to any AI agent and take full control of your issue tracking and sprint workflows through natural conversation.

What you can do

  • User & Team Discovery — Retrieve the authenticated user profile and list all teams configured in your Linear workspace
  • Issue Management — List, search, inspect and create issues with full metadata including assignees, labels, priority and state
  • Project Oversight — Browse all active projects, view their status and drill into specific project details by ID
  • Comments & Collaboration — Add comments to issues to keep your team context aligned without switching to the Linear app
  • Cycle Tracking — List all sprint cycles for any team, including start/end dates and completion progress
  • Label Organization — View all issue labels used for categorization across teams

How it works

1. Subscribe to this server
2. Enter your Linear Personal API Key
3. Start managing your sprints from Claude, Cursor, or any MCP-compatible client

No more tab-switching to check issue status or hunt for the right assignee. Your AI acts as an on-demand engineering manager.

Who is this for?

  • Engineering Managers — instantly pull issue summaries, check cycle progress and audit sprint health without opening Linear
  • Developers — create and update issues, add comments and check assignees directly from your IDE
  • Product Teams — monitor project statuses and search across issues to understand feature scope and blockage

Frequently asked questions about the Linear MCP Server

01

How do I find my Linear Personal API Key?

Go to Linear Settings > API and click Create API Key. Give it a descriptive name like 'Vinkius MCP' and copy the generated key immediately — it won't be shown again.

02

Can I create new issues with assignees and labels?

Yes! Use the create_issue tool with the required team_id and title parameters. Optionally provide assignee_id, priority (0-4), description in Markdown and label_ids as a comma-separated list. The agent will return the created issue's identifier and URL.

03

Does the agent have access to delete issues or modify team settings?

No. This server focuses on read operations and safe mutations — creating issues, updating fields and adding comments. Destructive actions like deletion or team configuration changes are not exposed, keeping your workspace secure.

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Give your AI agents the power of Linear MCP Server

Production-grade Linear MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.