Audienceful MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Audienceful 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="audienceful_agent",
tools=tools,
system_message=(
"You help users with Audienceful. "
"10 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 Audienceful MCP Server
Connect your Audienceful account to any AI agent and transform how you manage your email marketing and audience data through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Audienceful tools. Connect 10 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
- People Management — Create, search, and update subscriber profiles and manage their subscription status across your workspace
- Custom Data Fields — Define and manage custom data points to segment your audience with surgical precision
- Automation Triggers — Programmatically trigger email sequences and marketing automations for specific users or events
- Performance Auditing — Query and analyze campaign performance and audience growth metrics without manual exports
The Audienceful MCP Server exposes 10 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 Audienceful to AutoGen via MCP
Follow these steps to integrate the Audienceful 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 10 tools from Audienceful automatically
Why Use AutoGen with the Audienceful MCP Server
AutoGen provides unique advantages when paired with Audienceful through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Audienceful tools to solve complex tasks
Role-based architecture lets you assign Audienceful 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 Audienceful tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Audienceful tool responses in an isolated environment
Audienceful + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Audienceful MCP Server delivers measurable value.
Collaborative analysis: one agent queries Audienceful while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Audienceful, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Audienceful data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Audienceful responses in a sandboxed execution environment
Audienceful MCP Tools for AutoGen (10)
These 10 tools become available when you connect Audienceful to AutoGen via MCP:
create_custom_field
Create a new custom field for your audience members
create_person
You must provide at least an email address. Add a new person to your audience
delete_custom_field
Delete a custom field
delete_person
Use with caution. Permanently remove a person from your audience
get_person
Get details for a specific person by their UID
list_custom_fields
List all custom fields defined in your audience
list_people
You can filter by status or search for a specific email address. List all people in your Audienceful audience
list_send_reports
List recent email send reports
trigger_automation
Manually trigger an automation for a person
update_person
Update an existing person profile
Example Prompts for Audienceful in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Audienceful immediately.
"Search for subscribers who have the 'Company' field set to 'TechCorp'."
"Trigger the 'onboarding-welcome' sequence for [email protected]"
"List all custom fields currently defined in my Audienceful workspace."
Troubleshooting Audienceful MCP Server with AutoGen
Common issues when connecting Audienceful to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Audienceful + AutoGen FAQ
Common questions about integrating Audienceful 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 Audienceful 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 Audienceful to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.