Cordial 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 Cordial 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="Cordial Assistant",
instructions=(
"You help users interact with Cordial. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Cordial"
)
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 Cordial MCP Server
Integrate Cordial, the cross-channel marketing platform, directly into your AI workflow. Manage your audience segments, trigger automated messages, and monitor campaign performance using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from Cordial through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cordial, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Audience Management — List and search for subscribers, and update profile attributes seamlessly.
- Campaign Monitoring — Track the performance of batch and transactional email/SMS campaigns.
- Automation Control — Monitor and manage active message automation workflows.
- Data Insights — Access supplementary data collections and account metadata via chat.
The Cordial 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 Cordial to OpenAI Agents SDK via MCP
Follow these steps to integrate the Cordial 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 Cordial
Why Use OpenAI Agents SDK with the Cordial MCP Server
OpenAI Agents SDK provides unique advantages when paired with Cordial 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
Cordial + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Cordial MCP Server delivers measurable value.
Automated workflows: build agents that query Cordial, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Cordial, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Cordial tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Cordial to resolve tickets, look up records, and update statuses without human intervention
Cordial MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Cordial to OpenAI Agents SDK via MCP:
get_account_details
Resolves system-level account identifiers, plan configuration, and core platform settings. Get metadata about your Cordial account
get_subscriber_profile
Resolves granular profile data including custom attributes, device tokens, and list memberships. Get full profile and attributes for a subscriber
list_audience_segments
Resolves list identity properties such as segment IDs, names, and subscriber counts. List contact segments and audience groups
list_automation_messages
Resolves active automated message definitions and workflow status for triggered communications. List active automated message workflows
list_contacts
Resolves contact identity properties including email addresses, channel opt-ins, and attribute metadata across the Cordial system boundary. List subscribers in Cordial
list_marketing_campaigns
Resolves campaign identity and status, including scheduling data and high-level performance indicators. List marketing campaigns and their performance
list_messages
Resolves batch and transactional message definitions, including templates, subject lines, and sender profiles. List batch and transactional messages
list_supplementary_data
Resolves metadata for custom data collections used for message personalization. List supplement collections (external data tables)
search_campaigns_by_name
Resolves a subset of campaigns matching the name criteria across the platform boundary. Search for marketing campaigns by name
upsert_subscriber
Creates or updates a profile with identity properties, channel preferences, and custom attributes. Create or update a subscriber profile
Example Prompts for Cordial in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cordial immediately.
"List the most recent marketing campaigns and their open rates."
"Show me the profile for the subscriber 'user@example.com'."
"Check the size of our 'Active Customers' list."
Troubleshooting Cordial MCP Server with OpenAI Agents SDK
Common issues when connecting Cordial to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Cordial + OpenAI Agents SDK FAQ
Common questions about integrating Cordial 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 Cordial 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 Cordial to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
