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Vinkius

Linear MCP, Ready to Go

Use the Linear MCP to manage software engineering sprints and issues with Claude or Cursor. Let your AI agents handle your project workflow.

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No credit card required. Experience the power of this integration risk-free.

Manage your software engineering sprints and issue tracking through natural conversation.

Linear MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Linear Connector?

758ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 552ms
Average 758ms
Max 1033ms
Trend (improving) ↓ 20%
Daily latency
820ms 11/07/2026
1033ms 12/07/2026
829ms 13/07/2026
750ms 14/07/2026
844ms 15/07/2026
816ms 16/07/2026
707ms 17/07/2026
609ms 18/07/2026
766ms 19/07/2026
783ms 20/07/2026
759ms 21/07/2026
591ms 22/07/2026
552ms 23/07/2026
565ms 24/07/2026
11/07/2026 24/07/2026

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AI Agent

What AI agents can do with Linear MCP with 12 Tools for Agile Project Management

Manage your tickets, cycles, and projects through your AI client using these 12 specific Linear tools.

Search issues

Find specific tickets using keywords or filters for a specific team. This helps you quickly locate tasks without digging through boards.

Create comment

Post a new comment on an issue using Markdown and @mentions. This lets you share updates with teammates directly from your chat.

Create issue

Generate a new ticket with a title, description, priority, and labels. This makes it easy to log bugs the moment you find them.

List cycles

View all sprint cycles for a team, including their progress and dates. This gives you a quick look at how much work is left in a sprint.

Get issue

Fetch every detail for a specific ticket using its ID or human-readable key. Use this to get the full context of a bug or task.

Get project

Retrieve the full details and status for a specific project. This helps you see the high-level goals of your work.

List issues

Get a list of all tickets, with an optional filter for a specific team. This is perfect for getting a quick overview of the current backlog.

List labels

See all the labels used for categorizing issues across your workspace. This helps you keep your organization consistent.

List projects

Browse all active projects across multiple teams with a result limit. This lets you see the broader scope of the company's work.

List teams

Discover all teams in your workspace to find the right IDs for queries. Use this to understand the team structure of your organization.

Update issue

Modify specific fields on an existing ticket using its unique UUID. This allows you to change status or assignees in seconds.

Get viewer

Check which account the current API token belongs to for verification. This is a quick way to confirm your connection is correct.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Linear MCP for Agile Issue Tracking and Sprint Management

This is for the engineering team who is tired of the manual overhead of project management. It's for the people who want to keep their focus on code while keeping the roadmap updated.

Engineering Manager

Checks sprint health and pulls issue summaries during standups without opening a browser.

Software Developer

Updates ticket statuses and adds comments to bug reports directly from their IDE.

Product Manager

Searches for feature blockers and monitors project milestones via natural conversation.

Frequently Asked Questions

Can I use the Linear MCP to create tickets? +

Yes, you can create new issues with a title, description, priority level, and specific labels directly through your AI client.

Does Linear MCP support sprint cycles? +

Yes, it can list all cycles for your teams, including start and end dates as well as the current completion percentage.

Can my AI agent add comments to Linear? +

Yes, your agent can post comments on issues using Markdown and @mentions to keep your team updated.

How do I find my team ID for the Linear MCP? +

You can use the list_teams tool to see all teams in your workspace, which will provide the unique IDs needed for specific queries.

Can I update existing issues using this Connector? +

Yes, you can update any field on an existing ticket, such as the status, assignee, or priority, using its unique identifier.

Is there a way to search for issues with specific keywords? +

Yes, the search_issues tool allows you to find tickets by typing in keywords or filtering by a specific team.

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.

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.

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.

Your AI, connected to everything.

No credit card required · Free tier available

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