How to Use the CallFire MCP in AutoGen

Q: How do I register CallFire tools with AutoGen agents?

Use mcpservertools with your Vinkius HTTP URL to load the CallFire toolset. Pass the resulting tool list directly to your AutoGen AssistantAgent constructor.

Q: Do AutoGen agents collaborate on CallFire campaigns?

Yes, one agent compiles contact lists using listcontacts while another agent uses those lists to start a voice campaign. They coordinate through standard AutoGen group chats.

Q: How do AutoGen agents handle CallFire webhook errors?

Your agents call listwebhooks to inspect active listeners. If an agent detects a broken endpoint, it alerts the group and triggers a repair sequence.

Let your AutoGen agents debate and execute CallFire voice and text campaigns autonomously.

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Setup CallFire with AutoGen

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Multi-agent consensus on CallFire outreach in AutoGen

This MCP Server allows your AutoGen agents to discuss and agree before triggering voice broadcasts. They negotiate the message content and target list before calling `list_campaigns` to verify there are no duplicate runs.

Automated SMS verification loops

Set up an AutoGen conversation where one agent sends text messages and another monitors replies using `list_texts`. If a text bounce occurs, the agents debate whether to try an alternative phone number or update the contact record.

Collaborative call tracking triage

Group chats analyze active call performance by querying `list_calls` and `get_call` concurrently using these MCP tools. The agents use `get_webhook` to ensure real-time call events route to the correct endpoints.

Setup guide

Set up CallFire 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 CallFire 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="CallFire_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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

Use `mcp_server_tools` with your Vinkius HTTP URL to load the CallFire toolset. Pass the resulting tool list directly to your AutoGen `AssistantAgent` constructor.

Yes, one agent compiles contact lists using `list_contacts` while another agent uses those lists to start a voice campaign. They coordinate through standard AutoGen group chats.

Your agents call `list_webhooks` to inspect active listeners. If an agent detects a broken endpoint, it alerts the group and triggers a repair sequence.

It uses the Streamable HTTP transport provided by Vinkius. You connect using `StreamableHttpServerParams` to expose the tools to your agents.

Yes, your webhook configurations and text logs are processed entirely within a zero-trust, ephemeral V8 sandbox. Vinkius never logs or inspects the communication payloads exchanged during your agent conversations.

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