Woodpecker MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Woodpecker as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="woodpecker_agent",
tools=tools,
system_message=(
"You help users with Woodpecker. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Woodpecker tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Woodpecker MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Woodpecker automatically
Why Use AutoGen with the Woodpecker MCP Server
AutoGen provides unique advantages when paired with Woodpecker through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Woodpecker tools to solve complex tasks
Role-based architecture lets you assign Woodpecker tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Woodpecker tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Woodpecker tool responses in an isolated environment
Woodpecker + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Woodpecker MCP Server delivers measurable value.
Collaborative analysis: one agent queries Woodpecker while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Woodpecker, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Woodpecker data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Woodpecker responses in a sandboxed execution environment
Woodpecker MCP Tools for AutoGen (8)
These 8 tools become available when you connect Woodpecker to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Woodpecker to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Woodpecker + AutoGen FAQ
Common questions about integrating Woodpecker MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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.
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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 AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
