How to Use the ZenHub MCP in Cursor

Q: When I use ZenHub with Cursor, how does it improve coding?

The power is that the agent calls tools like getrepoboard and injects the actual JSON data into your code. You get live context right where you're typing, eliminating mock data guesswork.

Q: Can Cursor use ZenHub to help with release planning?

Yes. Use listreleasereports within an agent prompt. The AI reads the contents of those reports and helps structure your commit messages or documentation files based on what was shipped.

Inject live ZenHub data into your code instantly with Cursor and its agent mode.

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Connect ZenHub MCP to Cursor

Create your Vinkius account to connect ZenHub to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup ZenHub with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Write code based on current sprint epics.

Need to start coding a new feature? First, use `list_repo_epics` to pull the list of relevant ZenHub epics. The AI then uses that live data—not stubs—to generate scaffolding or function signatures directly into your file. You can confirm scope immediately by using `get_epic_data`. This pulls all the necessary details, so you're writing code against a concrete set of requirements.

Estimate complexity before committing code.

Before writing any API wrapper or complex logic, use `set_issue_estimate` to get the story point count. The AI integrates this number into your code comments or planning variables automatically. It's a quick way to make sure your implementation aligns with the agreed-upon effort level for that issue.

Build logic around board statuses.

If your code needs to check if an issue is ready to deploy, call `get_zenhub_issue_data`. This gives you granular status flags. The agent uses this live context to build conditional logic into the function. Similarly, use `move_issue_between_pipelines` when writing deployment scripts; the AI ensures the code handles the state change correctly.

Setup guide

Set up ZenHub MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the ZenHub MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent ZenHub transactions." If the MCP tools are loaded correctly, Cursor will call the ZenHub tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "zenhub-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ZenHub. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about ZenHub MCP in Cursor

The power is that the agent calls tools like `get_repo_board` and injects the actual JSON data into your code. You get live context right where you're typing, eliminating mock data guesswork.

Yes. Use `list_release_reports` within an agent prompt. The AI reads the contents of those reports and helps structure your commit messages or documentation files based on what was shipped.

You can access board status, epic details, issue estimates, and pipeline movement flags. This means the code you write has deep visibility into your team's current agile state.

This server touches story point estimates and issue metadata. Since this is project planning information, treat the generated code that uses it as highly sensitive to unauthorized access.

The MCP Server handles various repository configurations, allowing you to query board details for both general workspaces via `get_workspace_board` and specific codebases via `get_repo_board`.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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