How do I get my Woodpecker API key?

Log in to your Woodpecker account at **app.woodpecker.co**. Navigate to **Settings** (gear icon). Click on **API keys** in the left menu. Click **Create new key**, give it a descriptive name, and copy the generated key. Paste it below. API access is available on all Woodpecker plans.

Can I automate multi-step follow-up sequences?

Yes. Woodpecker specializes in automated follow-up sequences. Your AI agent can create campaigns with up to 7 follow-up steps, each with customizable delays and personalization variables.

Does it protect my sender reputation?

Yes. Woodpecker includes built-in bounce detection, auto-blacklisting, and sending throttling. Your AI agent can monitor these safety metrics and alert you if deliverability drops below healthy thresholds.

Can I use it for agency clients?

Yes. Woodpecker offers an Agency plan with multi-client management. Each API key is scoped to your account, and you can manage campaigns for all clients from your AI agent.

Woodpecker MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Woodpecker
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Woodpecker through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Woodpecker Assistant",
            instructions=(
                "You help users interact with Woodpecker. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Woodpecker"
        )
        print(result.final_output)

asyncio.run(main())

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.

The OpenAI Agents SDK auto-discovers all 8 tools from Woodpecker through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Woodpecker, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Woodpecker MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Woodpecker

Why Use OpenAI Agents SDK with the Woodpecker MCP Server

OpenAI Agents SDK provides unique advantages when paired with Woodpecker through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Woodpecker + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Woodpecker MCP Server delivers measurable value.

Automated workflows: build agents that query Woodpecker, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Woodpecker, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Woodpecker tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Woodpecker to resolve tickets, look up records, and update statuses without human intervention

Woodpecker MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Woodpecker to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Woodpecker to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Woodpecker + OpenAI Agents SDK FAQ

Common questions about integrating Woodpecker MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.