Integrate Linear with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate comment on Linear
The body supports Linear Markdown format including @mentions and ~~strikethrough~~. Add a comment to a Linear issue
Create issue on Linear
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 on Linear
Use the issue ID (UUID) or the human-readable identifier (e.g. TEAM-123). Get full details for a Linear issue
Get project on Linear
Get details for a specific Linear project
Get viewer on Linear
Useful to verify which account the API token belongs to. Get current authenticated Linear user details
List cycles on Linear
Each cycle has a number, name, start date, end date and completion progress percentage. List Linear cycles (sprints) for a team
List issues on Linear
Optionally filter by team ID to get issues for a specific team only. List Linear issues
List labels on Linear
Optionally filter by team ID. Each label has a name, color and optional description. List Linear issue labels
List projects on Linear
Projects group issues across multiple teams. Use optional limit to control how many results to fetch. List Linear projects
List teams on Linear
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 on Linear
Optionally filter results to a specific team. Returns issues with identifier, title, state, priority, assignee and URL. Search Linear issues by text
Update issue on Linear
Provide the issue ID (UUID) and only the fields you want to change. Update an existing Linear issue
Security & Code Integrity Audit
Every tool in the Linear MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
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.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Triggering Linear via Natural Language
Use Linear with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
AI Semantic Routing for issue tracking
The Linear toolkit provides structured tools for issue tracking. It enables conversational interfaces like Claude Code to query and modify data within your loved by devs infrastructure.
Scaling sprint planning via MCP
Deploy the Linear toolkit to manage sprint planning. The integration offers robust endpoints for ChatGPT to control loved by devs settings.
Linear. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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