Audienceful MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Audienceful through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Audienceful Assistant",
instructions=(
"You help users interact with Audienceful. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Audienceful"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from Audienceful through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Audienceful, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 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 Audienceful to OpenAI Agents SDK via MCP
Follow these steps to integrate the Audienceful 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 10 tools from Audienceful
Why Use OpenAI Agents SDK with the Audienceful MCP Server
OpenAI Agents SDK provides unique advantages when paired with Audienceful 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
Audienceful + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Audienceful MCP Server delivers measurable value.
Automated workflows: build agents that query Audienceful, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Audienceful, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Audienceful tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Audienceful to resolve tickets, look up records, and update statuses without human intervention
Audienceful MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Audienceful to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Audienceful to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Audienceful + OpenAI Agents SDK FAQ
Common questions about integrating Audienceful MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
