Woodpecker MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Woodpecker through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Woodpecker, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Woodpecker MCP Server
Connect Woodpecker to your AI agent and manage your B2B cold email automation platform conversationally.
The Vercel AI SDK gives every Woodpecker tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Campaign Management — Create, run, pause, and stop email campaigns with multi-step follow-up sequences.
- Prospect Tracking — Add prospects, check reply statuses, and manage bounces and opt-outs.
- Analytics — Pull open rates, click rates, reply rates, and bounce metrics per campaign.
- Deliverability Monitoring — Track sending limits, warm-up progress, and inbox placement.
The Woodpecker MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Woodpecker to Vercel AI SDK via MCP
Follow these steps to integrate the Woodpecker MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Woodpecker and passes them to the LLM
Why Use Vercel AI SDK with the Woodpecker MCP Server
Vercel AI SDK provides unique advantages when paired with Woodpecker through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Woodpecker integration everywhere
Built-in streaming UI primitives let you display Woodpecker tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Woodpecker + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Woodpecker MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Woodpecker in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Woodpecker tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Woodpecker capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Woodpecker through natural language queries
Woodpecker MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Woodpecker to Vercel AI SDK via MCP:
add_prospect
Add prospect
get_campaign
Get campaign
get_campaign_stats
Get campaign stats
list_campaigns
List campaigns
list_prospects
List prospects
list_webhooks
List webhooks
pause_campaign
Pause campaign
resume_campaign
Resume campaign
Example Prompts for Woodpecker in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Woodpecker immediately.
"Show campaign stats for 'VP Engineering Outreach'."
"Add 20 new prospects to my active campaign."
"Who replied to my campaigns this week?"
Troubleshooting Woodpecker MCP Server with Vercel AI SDK
Common issues when connecting Woodpecker to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWoodpecker + Vercel AI SDK FAQ
Common questions about integrating Woodpecker MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Woodpecker with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Woodpecker to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.