How to Use the Cordial MCP in AutoGen
Let your AutoGen multi-agent teams debate, coordinate, and execute Cordial marketing campaigns and subscriber updates.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cordial MCP to AutoGen
Create your Vinkius account to connect Cordial to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Coordinate subscriber updates across AutoGen agents
`upsert_subscriber` handles profile creation and attribute updates when your agents agree on a customer profile change. This tool allows your database agent to write clean contact records once the validation agent approves them. Your agents can run `get_subscriber_profile` first to inspect current device tokens and list memberships. This check prevents duplicate writes and keeps your subscriber database clean.
Debate campaign performance using this MCP Server
`list_marketing_campaigns` pulls performance indicators and scheduling details for active marketing runs. This MCP tool returns active campaign performance indicators for your strategy agent to analyze before proposing new schedules. They can also run `search_campaigns_by_name` to compare historical campaign runs. This collaborative analysis helps your agents reach a consensus on future scheduling changes.
Verify message templates before dispatching
`list_messages` retrieves batch and transactional message definitions, including subject lines and templates. Your copywriter agent can pull these templates so your editor agent can review them for errors. Combine this with `list_automation_messages` to check active workflows and triggered communications. Your agents ensure your automated triggers point to the correct active templates before deploying.
Set up Cordial MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Cordial tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Cordial_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Cordial data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Cordial_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Cordial data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cordial. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Cordial MCP in AutoGen
Use it with your favorite AI tools
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