Bring Issue Tracking
to Pydantic AI
Create your Vinkius account to connect Linear to Pydantic AI and start using all 12 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Linear MCP Server?
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
- Subscribe to this server
- Enter your Linear Personal API Key
- 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
Built-in capabilities (12)
The body supports Linear Markdown format including @mentions and ~~strikethrough~~. Add a comment to a Linear 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
Use the issue ID (UUID) or the human-readable identifier (e.g. TEAM-123). Get full details for a Linear issue
Get details for a specific Linear project
Useful to verify which account the API token belongs to. Get current authenticated Linear user details
Each cycle has a number, name, start date, end date and completion progress percentage. List Linear cycles (sprints) for a team
Optionally filter by team ID to get issues for a specific team only. List Linear issues
Optionally filter by team ID. Each label has a name, color and optional description. List Linear issue labels
Projects group issues across multiple teams. Use optional limit to control how many results to fetch. List Linear projects
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
Optionally filter results to a specific team. Returns issues with identifier, title, state, priority, assignee and URL. Search Linear issues by text
Provide the issue ID (UUID) and only the fields you want to change. Update an existing Linear issue
Why Pydantic AI?
Pydantic AI validates every Linear tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Linear integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Linear connection logic from agent behavior for testable, maintainable code
Linear in Pydantic AI
Why run Linear with Vinkius?
The Linear connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 12 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Linear using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Linear and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Linear to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Linear for Pydantic AI
Every request between Pydantic AI and Linear is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Linear MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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