Compatible with every major AI agent and IDE
Get issue on Linear (Issue Tracking & PM)
Get deep context for a specific identified Linear issue tracking limit
Get viewer on Linear (Issue Tracking & PM)
Get active authenticated mapping validating explicit global User boundaries
List cycles on Linear (Issue Tracking & PM)
List current tracking sprint cycle bounds mapping start/end limits
List issues on Linear (Issue Tracking & PM)
List recent issues mapped on Linear workspace
List labels on Linear (Issue Tracking & PM)
List global string metadata tags bounding issue categorization logic
List projects on Linear (Issue Tracking & PM)
List all explicit active mapped projects available in the workspace
List teams on Linear (Issue Tracking & PM)
List all logical team segment boundaries mapping workspace access
List users on Linear (Issue Tracking & PM)
List all explicitly mapped workspace members validating active access limits
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
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.
Linear (Issue Tracking & PM) Capabilities for AI Assistants
The Linear (Issue Tracking & PM) MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
AI Semantic Routing for issue tracking
The Linear (Issue Tracking & PM) 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 (Issue Tracking & PM) toolkit to manage sprint planning. The integration offers robust endpoints for ChatGPT to control loved by devs settings.
Linear (Issue Tracking & PM). 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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