How to Use the Fieldfolio MCP in AutoGen

Deploy AutoGen agents that debate and coordinate wholesale tasks using the Fieldfolio MCP Server.

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Connect Fieldfolio MCP to AutoGen

Create your Vinkius account to connect Fieldfolio 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 Fieldfolio with AutoGen

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Coordinate Fieldfolio orders in AutoGen

Connecting `list_orders` and `get_order` allows coordinate groups of AutoGen agents to process incoming wholesale transactions. One agent reviews the order details, while another checks customer credit via `get_customer` before approving the transaction. This collaborative approach catches errors before they reach your warehouse. The agents debate whether an order meets wholesale criteria and only proceed once they reach a consensus.

Consensus-driven inventory updates

Executing `list_inventory` and `update_inventory` enables AutoGen agents to negotiate stock level adjustments across your catalog. When a webhook triggers an update, a validation agent compares the change against pending orders before the writer agent executes the update. This prevents double-allocation of stock. By forcing agents to verify inventory levels against orders before writing changes, you eliminate the risk of overselling popular items.

Automate catalog audits in AutoGen

Exposing `list_products` and `search_catalog` allows your AutoGen agents to audit your wholesale catalog for inconsistencies. A QA agent scans the catalog, flags items missing categories via `list_categories`, and reports discrepancies to your team. You use the tool adapter to automatically format these tools for AutoGen's conversational interface. The agents run audits in the background, communicating their findings in a structured chat thread.

Setup guide

Set up Fieldfolio 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 Fieldfolio 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="Fieldfolio_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install the extension package and fetch the tools using the server parameters function. Pass the resulting list of tools to your assistant agent constructor.

Yes, you can set up one agent to monitor webhooks and another to manage inventory. They will chat and resolve any inventory discrepancies before writing to the database.

Your agents call the customer listing tools to find the correct retail account, then fetch specific shipping and billing details during the order review process.

AutoGen supports both stdio and Streamable HTTP transports. When hosted on Vinkius, you connect via the secure MCP endpoint using your single-token authentication.

Your retail customer lists and contact profiles are isolated within the Vinkius zero-trust sandbox. No external agent framework or third-party LLM can access this sensitive trade data directly.

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