How to Use the EasySendy MCP in AutoGen
Let AutoGen agents debate list hygiene and manage EasySendy subscribers through consensus.
Works with every AI agent you already use
…and any MCP-compatible client
Connect EasySendy MCP to AutoGen
Create your Vinkius account to connect EasySendy 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.
Consensus-driven list management in AutoGen
Here's the deal: your AutoGen agents can now discuss list health before executing actions. By adding this MCP Server, your AutoGen agents can check subscriber statuses using `get_subscriber_details` while another reviews delivery metrics. They debate whether to run `unsubscribe_user` or keep the subscriber active, ensuring balanced decisions. This multi-agent setup prevents accidental deletions. When a request to run `delete_subscriber` comes in, the agents must agree based on historical list data before the tool is triggered.
Safe list creation via AutoGen MCP Server tools
Creating new subscriber lists requires careful planning to avoid clutter. Your AutoGen agents can coordinate to run `create_list` only after verifying that a similar list doesn't already exist via `list_all_lists`. This keeps your email architecture clean and organized. If changes are needed, the agents negotiate the update. They run `update_list` to adjust fields only when both the marketing and compliance agents agree on the schema.
Collaborative bulk subscriber imports
Importing large batches of contacts is risky for sender reputation. An AutoGen agent can validate a raw data batch, while a security agent checks for spam traps before calling `add_multiple_subscribers`. They work together to clean the batch before it hits your active lists. If any bad records are found, the agents filter them out. They update the remaining profiles using `update_subscriber` to match your custom list fields seamlessly.
Set up EasySendy 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 EasySendy 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="EasySendy_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent EasySendy 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="EasySendy_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent EasySendy 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 EasySendy. 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 EasySendy MCP in AutoGen
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