How to Use the CallFire MCP in AutoGen

Q: Can AutoGen check my CallFire balance?

Yes, the agent can run getaccountinfo whenever it needs to check your status. It uses this to decide if it has enough credit to proceed.

Debate your messaging strategy in AutoGen. Use CallFire tools to execute decisions reached by your agents.

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Create your Vinkius account to connect CallFire 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 CallFire with AutoGen

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CallFire messaging for AutoGen agents

Let your agents negotiate whether to send a text or make a call. When they agree on a strategy, they use `send_sms` or `send_voice_call` to act. This removes the need for you to manually trigger campaigns. The agents handle the execution once they reach a consensus.

Verify CallFire status in AutoGen

Have your agents challenge each other's assumptions by checking account status. Use `get_account_info` to see if your balance or limits allow for more messages. One agent can flag a budget issue while another proposes a fix. They use the tool data as the basis for their internal debate.

Review CallFire logs with AutoGen

Analyze past campaign performance by having agents interpret `get_call_details` results. They compare the success of different call attempts. This collective review helps them optimize future outreach. They learn from the data provided by the server to improve their decision-making process.

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 →

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Why Choose Vinkius

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Common questions about CallFire MCP in AutoGen

You define agents with different roles and let them discuss the task. When they decide on a specific action, they invoke the CallFire tools to execute it.

Yes, the agent can run `get_account_info` whenever it needs to check your status. It uses this to decide if it has enough credit to proceed.

The MCP server keeps your credentials isolated. Only the authorized agents in your AutoGen group get temporary access to perform the specific tasks you allow.

Data is transmitted over encrypted channels only when an agent needs it. We do not store your call history or SMS logs on our managed servers.

Your communication records are only accessible to the agents you configure. We implement zero-trust protocols to ensure no unauthorized access to your account happens.

Use it with your favorite AI tools

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