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Woodpecker MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Woodpecker through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "woodpecker": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Woodpecker Agent",
    instructions:
      "You help users interact with Woodpecker " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Woodpecker?"
  );
  console.log(result.text);
}

main();
Woodpecker
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Woodpecker tool infrastructure. Connect 8 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Woodpecker MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 8 tools from Woodpecker via MCP

Why Use Mastra AI with the Woodpecker MCP Server

Mastra AI provides unique advantages when paired with Woodpecker through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Woodpecker without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Woodpecker tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Woodpecker + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Woodpecker MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Woodpecker, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Woodpecker as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Woodpecker on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Woodpecker tools alongside other MCP servers

Woodpecker MCP Tools for Mastra AI (8)

These 8 tools become available when you connect Woodpecker to Mastra AI via MCP:

01

add_prospect

Add prospect

02

get_campaign

Get campaign

03

get_campaign_stats

Get campaign stats

04

list_campaigns

List campaigns

05

list_prospects

List prospects

06

list_webhooks

List webhooks

07

pause_campaign

Pause campaign

08

resume_campaign

Resume campaign

Example Prompts for Woodpecker in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Woodpecker immediately.

01

"Show campaign stats for 'VP Engineering Outreach'."

02

"Add 20 new prospects to my active campaign."

03

"Who replied to my campaigns this week?"

Troubleshooting Woodpecker MCP Server with Mastra AI

Common issues when connecting Woodpecker to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Woodpecker + Mastra AI FAQ

Common questions about integrating Woodpecker MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Woodpecker to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.