How to Use the FreeAgent MCP in AutoGen

Q: How do AutoGen agents handle complex FreeAgent ledger queries?

The agents split the work. One agent can call listchartofaccounts to understand your categorization, while another retrieves transactions via listbanktransactions, collaborating in a shared chat thread to map the data.

Q: Does this MCP Server support parallel tool calls in AutoGen?

Yes, it does. If your AutoGen agents need to fetch both listinvoices and listpurchasebills simultaneously, the server handles these parallel requests efficiently through the Vinkius gateway.

Q: Is my FreeAgent profit and loss data safe with AutoGen?

Yes, your getprofitandloss payloads are protected by strict zero-trust network policies. The Vinkius sandbox ensures that your financial statements are never cached or used to train public models during agent debates.

Deploy AutoGen multi-agent teams to debate, reconcile, and audit your FreeAgent accounts without manual oversight.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect FreeAgent MCP to AutoGen

Create your Vinkius account to connect FreeAgent 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.

GDPR Free for Subscribers

Setup FreeAgent with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Consensus-Driven Expense Auditing

Let your agents debate company spending before it hits the books. Using this MCP Server, one AutoGen agent can pull expenses via `list_out_of_pocket_expenses` while another checks active project codes using `list_projects`. The agents discuss whether the expense matches the project scope, only flagging anomalies for human review when they cannot reach a consensus. This eliminates the need for you to manually cross-reference every receipt.

Multi-Agent Ledger Reconciliation with AutoGen

Reconciling bank feeds is a perfect task for collaborative agents. In your AutoGen setup, a banking agent retrieves records using `list_bank_transactions` and passes them to an invoicing agent running `list_invoices`. They negotiate matches, verify totals against `list_chart_of_accounts`, and double-check each other's math. This multi-agent verification loop catches discrepancies that single-agent systems routinely miss.

Collaborative Financial Reporting

Generate deep financial analyses by letting specialized agents analyze your numbers. An executive agent can fetch high-level metrics via `get_profit_and_loss` and `get_company_details` to draft a quarterly summary. A skeptical analyst agent then challenges those assumptions by querying `list_purchase_bills` to find hidden liabilities. The final report is a refined, debated product of multiple specialized perspectives.

Setup guide

Set up FreeAgent 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 FreeAgent 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="FreeAgent_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent FreeAgent 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 FreeAgent. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect FreeAgent now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about FreeAgent MCP in AutoGen

You register the MCP tools using the AutoGen MCP adapter. This maps endpoints like `list_bank_accounts` and `get_contact_details` into schemas that your AssistantAgent instances can easily understand and invoke.

Yes, you can build a multi-agent auditing workflow. You set up one agent to pull records using `list_purchase_bills` and another to verify them, allowing them to converse until they confirm accuracy or flag an anomaly.

The agents split the work. One agent can call `list_chart_of_accounts` to understand your categorization, while another retrieves transactions via `list_bank_transactions`, collaborating in a shared chat thread to map the data.

Yes, it does. If your AutoGen agents need to fetch both `list_invoices` and `list_purchase_bills` simultaneously, the server handles these parallel requests efficiently through the Vinkius gateway.

Yes, your `get_profit_and_loss` payloads are protected by strict zero-trust network policies. The Vinkius sandbox ensures that your financial statements are never cached or used to train public models during agent debates.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript