How to Use the Woodpecker MCP in Cursor

Q: How does Woodpecker work with Cursor?

You configure the Woodpecker MCP Server in your project's .cursor/mcp.json file. This allows the AI agent to call tools and inject live, real-time data directly into the code you are writing.

Q: Can I list all campaigns using Woodpecker in Cursor?

Yep, just use the listcampaigns tool. The agent pulls that array of campaign IDs and names, which you can then loop through or reference in your code logic.

Q: What if I need to check prospect data with Woodpecker in Cursor?

Call listprospects. The returned JSON structure is immediately available for the agent to use, whether you're building a script that analyzes names or emails.

Q: Can I monitor webhooks with Woodpecker using Cursor?

Use listwebhooks. The agent retrieves all defined webhook endpoints, allowing your code to check connectivity or structure for data integration purposes.

Write code that uses live data from Woodpecker within Cursor’s AI Agent mode.

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Connect Woodpecker MCP to Cursor

Create your Vinkius account to connect Woodpecker 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 Woodpecker with Cursor

Ask AI about this MCP

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Claude

Perplexity

Get campaign stats for coding.

You can write code blocks that call `get_campaign_stats` and inject the real results into your script. Instead of using mock data, your agent generates working Python or JavaScript that relies on live Woodpecker metrics. This is huge: you're writing tests or reports in Cursor that instantly reflect current campaign performance because the API response populates the code context.

Add prospects via code.

Need to script a list generation? The `add_prospect` tool lets your agent write code that calls this function. You can build entire data pipelines right in Cursor, using Woodpecker as the backend source for new records. This is better than copy-pasting; you're creating repeatable logic that targets the Woodpecker API directly.

List and control campaigns.

You can write a function using `list_campaigns` to fetch all active campaign identifiers. This list then becomes an input for another function, like writing a loop that processes multiple sequences. Similarly, you can build logic around `pause_campaign` or `resume_campaign`, ensuring your code doesn't just *say* it paused the campaign but actually calls the Woodpecker endpoint.

Setup guide

Set up Woodpecker 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 Woodpecker 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 Woodpecker transactions." If the MCP tools are loaded correctly, Cursor will call the Woodpecker tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "woodpecker-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 Woodpecker. 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.

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Common questions about Woodpecker MCP in Cursor

You configure the Woodpecker MCP Server in your project's `.cursor/mcp.json` file. This allows the AI agent to call tools and inject live, real-time data directly into the code you are writing.

Yep, just use the `list_campaigns` tool. The agent pulls that array of campaign IDs and names, which you can then loop through or reference in your code logic.

Call `list_prospects`. The returned JSON structure is immediately available for the agent to use, whether you're building a script that analyzes names or emails.

This server touches prospect records and campaign metrics. Since your code runs within a controlled project environment in Cursor, the API calls are governed by the credentials you provide in `.cursor/mcp.json`.

Use `list_webhooks`. The agent retrieves all defined webhook endpoints, allowing your code to check connectivity or structure for data integration purposes.

Use it with your favorite AI tools

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