How to Use the Saysimple MCP in AutoGen

Q: How do I register Saysimple tools in an AutoGen agent group?

Install autogen-extmcp and use mcpservertools with your Vinkius URL. This automatically converts the Saysimple MCP Server schema into tools your AutoGen agents can use during their conversations.

Q: Can AutoGen agents collaborate to assign chats in Saysimple?

Yes, one AutoGen agent can monitor incoming chats via listchats and suggest routing, while another agent calls assignchat to execute the assignment once consensus is reached.

Q: How do AutoGen agents handle WhatsApp templates in Saysimple?

A designated content agent calls listtemplates to find matching templates, and a delivery agent executes sendmessage with the required JSON payload after verifying the layout details.

Q: How can AutoGen monitor webhook configurations?

Your agents can call listwebhooks to inspect active endpoints and ensure messaging events are routing correctly. If a webhook is missing, the agents can flag the issue in their group chat.

Build AutoGen multi-agent systems that debate, assign, and dispatch Saysimple WhatsApp campaigns with zero human intervention.

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Setup Saysimple with AutoGen

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Coordinate multi-agent chat assignments in AutoGen

This Saysimple MCP Server enables AutoGen agents to negotiate and execute chat routing dynamically. A triage agent calls `list_chats` to fetch unassigned conversations, while a supervisor agent uses `assign_chat` to allocate them to the correct team member based on workload. This collaborative workflow ensures no customer ticket falls through the cracks. Your agents can continuously monitor the queue and reassign chats dynamically as team availability changes.

Debate and validate WhatsApp template selection

Avoid sending incorrect messaging templates by using Saysimple verification tools inside your AutoGen group chats. A marketing agent pulls templates using `list_templates` and selects a candidate, while a compliance agent calls `get_template` to verify the payload structure. Once both agents agree the parameters are correct, the execution agent calls `send_message` to dispatch the WhatsApp message. This consensus-driven approach eliminates formatting errors and ensures brand consistency.

Automate contact creation through agent consensus

When a new conversation starts, your AutoGen agents use Saysimple CRM tools to build a clean customer profile. A database agent calls `list_contacts` to verify the user doesn't exist, preventing duplicate records before any action is taken. If the user is verified as new, a writer agent triggers `create_contact` with the gathered phone details, and a verification agent runs `get_contact` to double-check the entry. This multi-agent verification loop guarantees high-quality CRM data.

Setup guide

Set up Saysimple 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 Saysimple 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="Saysimple_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Saysimple 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="Saysimple_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Saysimple 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 Saysimple. 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 Saysimple MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your Vinkius URL. This automatically converts the Saysimple MCP Server schema into tools your AutoGen agents can use during their conversations.

Yes, one AutoGen agent can monitor incoming chats via `list_chats` and suggest routing, while another agent calls `assign_chat` to execute the assignment once consensus is reached.

A designated content agent calls `list_templates` to find matching templates, and a delivery agent executes `send_message` with the required JSON payload after verifying the layout details.

Your agents can call `list_webhooks` to inspect active endpoints and ensure messaging events are routing correctly. If a webhook is missing, the agents can flag the issue in their group chat.

Your API credentials and customer details are highly secured. All communication with the Saysimple MCP connection is encrypted, and your tokens are never exposed to the agents. Only the specific chat logs and contact records retrieved via `get_chat` or `get_contact` are processed within the secure runtime environment.

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