Compatible with every major AI agent and IDE
Get issue on Jira Cloud
g., "PROJ-123"). Returns descriptions, comments, priority, status, and custom fields. Essential for providing a full context of a specific work item. Retrieves details for a specific issue
Get myself on Jira Cloud
Useful for verifying identity and permissions. Gets current authenticated user info
Get project on Jira Cloud
g., "PROJ") or ID. Returns project lead, categories, and issue types. Use to understand the scope and configuration of a specific team's project. Retrieves details for a specific project
List dashboards on Jira Cloud
Useful for identifying high-level visual reporting tools available to the user. Lists all Jira dashboards
List issue types on Jira Cloud
g., "Bug", "Epic", "Story") available in the Jira instance. Useful for identifying valid types when searching or creating content. Lists all issue types
List priorities on Jira Cloud
g., "High", "Medium", "Low") configured in Jira. Useful for understanding task urgency and filtering search results. Lists all issue priorities
List projects on Jira Cloud
Returns project keys, names, and IDs. Use this to identify project keys before searching for specific issues. Lists all projects in Jira
List statuses on Jira Cloud
g., "To Do", "In Progress", "Done") across the Jira instance. Useful for mapping the workflow steps of projects. Lists all issue statuses
List users on Jira Cloud
Use this to identify assignees, reporters, or team members by their display names or account IDs. Lists all users in Jira
Search issues on Jira Cloud
JQL allows powerful filtering (e.g., "project = MYPROJ AND status = Open"). Returns issue keys, summaries, and statuses. Use this as the main tool for finding tasks or bugs based on flexible criteria. Searches for issues using Jira Query Language (JQL)
How Vinkius protects your data
What is JQL?
JQL (Jira Query Language) is a powerful tool that allows you to search for issues in Jira using a structured query syntax.
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.
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.
Supported Use Cases for Jira Cloud
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Jira Cloud infrastructure.
LLM Orchestration for agile
The Jira Cloud toolkit provides secure access to agile functions. It enables conversational agents to manage industry titans settings deterministically.
Next-Gen issue tracking Operations
Connect Jira Cloud to your AI agents (Claude, ChatGPT, Cursor) to manage issue tracking operations. The MCP server processes the underlying API requests and schema formatting for the industry titans domain.
Jira Cloud. 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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