How to Use the Woodpecker MCP in Vercel AI SDK

Q: Can I check campaign stats with Woodpecker using the Vercel AI SDK?

Yes, you can. By calling getcampaignstats, your agent retrieves performance metrics and streams those numbers live into your frontend. This is perfect for building real-time analytics dashboards.

Q: How do I list campaigns with Woodpecker via the Vercel AI SDK?

Simply call listcampaigns from your MCP client. The result streams directly into your UI, giving you an up-to-the-second list of all available marketing sequences for the user to see and interact with.

Stream real-time Woodpecker data directly into your Vercel AI SDK frontend.

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Connect Woodpecker MCP to Vercel AI SDK

Create your Vinkius account to connect Woodpecker to Vercel AI SDK 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 Vercel AI SDK

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Monitor prospect lists in real time

When you call `list_prospects`, your agent streams the entire list of contacts to the client. This means users see the data appear on the screen immediately, without waiting for a loading spinner. You can also pull specific details by calling `add_prospect`. The Vercel AI SDK handles streaming this output directly into React or Svelte components, making your product feel incredibly responsive.

Manage campaign status live

The agent lets you check the current operational state of marketing campaigns. Call `list_campaigns` to get an overview, and then use tools like `pause_campaign` or `resume_campaign`. The streamed results confirm instantly whether the action succeeded. Developers can build a dashboard that updates as soon as the MCP Server confirms the status change. This level of immediate feedback is key for building good user-facing products.

Analyze campaign performance on demand

Need to know how well your sequences are doing? Just call `get_campaign_stats`. The Vercel AI SDK streams the numerical results—like open rates or click counts—straight into your UI. You don't have to wait for an API endpoint refresh. This live data streaming makes it possible for users to build interactive tools that show performance metrics as they are retrieved, making the entire experience feel native and fast.

Setup guide

Set up Woodpecker MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Woodpecker tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Woodpecker transactions",
});

console.log(text);
await mcpClient.close();

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Common questions about Woodpecker MCP in Vercel AI SDK

Your agent uses the Vercel AI SDK to call Woodpecker tools directly. This allows your application to manage cold email sequences and retrieve data without ever exposing the user to the Woodpecker platform itself.

Yes, you can. By calling `get_campaign_stats`, your agent retrieves performance metrics and streams those numbers live into your frontend. This is perfect for building real-time analytics dashboards.

The server primarily handles campaign and prospect data, including contact lists (`list_prospects`) and overall performance stats. It's all managed through streaming tool calls.

Simply call `list_campaigns` from your MCP client. The result streams directly into your UI, giving you an up-to-the-second list of all available marketing sequences for the user to see and interact with.

It's designed specifically for this. The Vercel AI SDK is built for real-time streaming, meaning you get instant feedback whenever your agent executes a tool like `pause_campaign` or reads prospect information.

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