How to Use the Dripcel MCP in AutoGen

Q: How do I configure the Dripcel MCP Server for AutoGen agents?

Install autogen-extmcp and use mcpservertools with your Vinkius HTTP URL. Pass the generated tools list directly into your AssistantAgent constructor.

Q: Can AutoGen agents draft and send Dripcel templates?

Yes. One agent can call listwhatsapptemplates to find the right format, while another verifies the variables and executes the dispatch using sendwhatsappmessage.

Q: How do AutoGen agents handle Dripcel connection failures?

If getwhatsappconnectionstatus returns a disconnected state, your monitoring agent can alert the group, prompting a fallback agent to route traffic to an active instance.

Orchestrate multi-agent WhatsApp workflows using AutoGen and the Dripcel MCP Server.

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Create your Vinkius account to connect Dripcel 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.

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Setup Dripcel with AutoGen

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Run consensus-driven WhatsApp operations in AutoGen.

AutoGen agents use this MCP Server to debate the best way to handle customer issues. One agent inspects delivery state with `get_whatsapp_connection_status`, while another checks the budget using `get_dripcel_account_metadata`. They collaborate before sending. The dispatch agent will only call `send_whatsapp_message` once the auditing agent confirms the target instance is healthy and the template is approved.

Automate contact verification via agent debate.

Avoid sending messages to invalid numbers. A verification agent can run `search_instance_contacts` to check if a lead exists in your system. If there is a mismatch, the agent discusses the discrepancy with a manager agent. They can query `list_instance_contacts` to resolve the conflict before updating the record.

Audit instance health dynamically.

Keep your messaging infrastructure online. An auditor agent runs `quick_instance_health_audit` in the background to monitor all configured WhatsApp lines. If an instance drops, the agent flags it to the coordinator. The coordinator then updates the routing tables using `get_instance_details` to keep the queue moving.

Setup guide

Set up Dripcel 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes Dripcel tools and returns structured results.

agent.py

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="Dripcel_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Dripcel data")
print(result.messages[-1].content)

Get your connection token →

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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="Dripcel_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Dripcel data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dripcel. 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 Dripcel MCP in AutoGen

Install autogen-ext[mcp] and use mcp_server_tools with your Vinkius HTTP URL. Pass the generated tools list directly into your AssistantAgent constructor.

Yes. One agent can call `list_whatsapp_templates` to find the right format, while another verifies the variables and executes the dispatch using `send_whatsapp_message`.

If `get_whatsapp_connection_status` returns a disconnected state, your monitoring agent can alert the group, prompting a fallback agent to route traffic to an active instance.

Yes. AutoGen handles parallel tool calls, allowing your agents to query `list_whatsapp_messages` across multiple active instances simultaneously to build a unified log.

Your API keys and WhatsApp instance tokens are managed securely inside Vinkius's zero-trust MCP gateway. AutoGen never sees your raw credentials, protecting your messaging channels from exposure.

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