How to Use the AgentFire MCP in AutoGen

Q: How do I pass AgentFire MCP tools to an AutoGen AssistantAgent?

Install the autogen-extmcp package. Fetch the tool definitions using mcpservertools with your Vinkius URL, then pass that list directly into the agent's constructor.

Q: Can AutoGen agents trigger AgentFire lead creation without human input?

They execute createlead autonomously if you configure the system that way. Most developers require a human-in-the-loop approval step before the final agent commits the new record.

Deploy debating AutoGen agents to evaluate AgentFire properties and negotiate real estate lead follow-ups.

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Create your Vinkius account to connect AgentFire 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 AgentFire with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Multiple agents debate lead quality

The `get_lead` tool provides raw buyer data to a group of specialized agents tasked with evaluating prospect value. A financial agent analyzes the stated budget while a timeline agent assesses urgency based on the lead's notes. These agents argue over priority scoring before reaching a consensus. Once they agree on a classification, a designated action agent uses this MCP server's `update_lead` tool to append their finalized priority tier directly into the brokerage database.

Delegate listing searches to specialized MCP Server agents

The `search_listings` tool acts as the primary data source for an inventory-focused AssistantAgent. When a client requests homes in a specific zip code, this agent queries the API and broadcasts the results to the chat. A separate compliance agent reviews the returned properties using `get_listing` to check for missing disclosures or red flags. Only after both agents sign off does the system present the curated homes to the end user.

Autonomous API monitoring during negotiations

The `check_agentfire_status` tool lets your technical agent verify platform connectivity before initiating bulk operations. If a marketing agent proposes importing a massive list of contacts, the technical agent checks the endpoint first. This architecture prevents failed requests during complex multi-agent workflows. The system automatically pauses deliberation and alerts the human operator if the status check returns an error.

Setup guide

Set up AgentFire 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 AgentFire 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="AgentFire_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install the `autogen-ext[mcp]` package. Fetch the tool definitions using `mcp_server_tools` with your Vinkius URL, then pass that list directly into the agent's constructor.

They execute `create_lead` autonomously if you configure the system that way. Most developers require a human-in-the-loop approval step before the final agent commits the new record.

The MCP adapter handles schema conversion automatically. If an agent hallucinates a field, the tool rejects the call, prompting the agent to read the error and correct its JSON payload.

Yes. You initialize the Streamable HTTP transport once and distribute the resulting tools across as many specialized agents as your conversation requires.

Your listing data routes through a zero-trust execution environment. The server processes the API request, returns the JSON to your local agents, and instantly terminates the container.

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