How to Use the CallPage MCP in AutoGen

Q: Can AutoGen agents collaborate to draft CallPage SMS follow-ups?

Yes. A copywriter agent can fetch templates with listsmstemplates, while a personalization agent pulls the prospect's details with getleaddetails to draft the perfect message.

Enable multi-agent debate in AutoGen to coordinate sales callbacks and assign leads dynamically.

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Connect CallPage MCP to AutoGen

Create your Vinkius account to connect CallPage 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 CallPage with AutoGen

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Let agents debate lead assignment

Set up a system where agents discuss the best rep for a lead. One agent pulls new prospects using `list_leads` while another checks team availability with `list_managers`. They deliberate over which department fits best by calling `list_departments`. Instead of static rules, your agents negotiate the optimal routing based on live team workload.

Secure widget updates with an AutoGen MCP Server coordinator

Prevent accidental changes to your live site. When an agent wants to modify a form, a supervisor agent checks the current setup with `get_widget_settings`. The supervisor reviews the proposed changes against active widgets listed by `list_widgets`. This dual-agent check ensures you never deploy broken widget configurations to production.

Resolve call discrepancies through agent consensus

When call reports don't match, your agents can investigate. One agent fetches the raw call log using `get_call_details` while another analyzes the broader history with `list_calls`. They compare notes to verify the call outcome and account details via `get_account_info`. They only update your database once both agents agree on the status.

Setup guide

Set up CallPage 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 CallPage 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="CallPage_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install the AutoGen MCP extension. Use the streamable HTTP parameters with your Vinkius URL to fetch the tools, then pass them directly to your assistant agent.

Yes. A copywriter agent can fetch templates with `list_sms_templates`, while a personalization agent pulls the prospect's details with `get_lead_details` to draft the perfect message.

The adapter handles the schema conversion automatically. Your agents will understand the input parameters for all ten tools without manual mapping.

Yes, though Vinkius hosts this as a managed service, so you will use the streamable HTTP transport to connect your agents to the API.

Your data remains secure. The MCP server runs inside an ephemeral sandbox on Vinkius, meaning call details and lead phone numbers are processed securely without leaving any permanent footprint.

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