How to Use the FreshBooks MCP in AutoGen

Give your AutoGen multi-agent systems read access to FreshBooks to audit invoices and debate financial decisions.

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Connect FreshBooks MCP to AutoGen

Create your Vinkius account to connect FreshBooks 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 FreshBooks with AutoGen

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Multi-agent auditing with the FreshBooks MCP Server

Equip an auditor agent with the `list_invoices` and `get_invoice_details` tools to review outbound billing. While one agent drafts an invoice, the auditor agent pulls the actual records to check for discrepancies. They debate the results. If the numbers don't match, the agents negotiate a correction before presenting the final summary to a human.

Cross-examine expense reports

Fetch recent spending records via the `list_expenses` and `list_expense_categories` tools. A compliance agent reads these logs and challenges a different agent that approved a questionable transaction. The framework handles the schema conversion automatically through the MCP adapter. You just pass the server parameters to the constructor and the tools are ready to use.

Analyze project health collaboratively

Pull operational data using the `list_active_projects`, `list_project_tasks`, and `list_time_entries` tools. A project management agent gathers the hours worked, while a finance agent calculates the burn rate. Using the MCP server forces these agents to reach a consensus. Instead of a single LLM making a wild guess about profitability, you get a reasoned conclusion backed by actual API data.

Setup guide

Set up FreshBooks 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 FreshBooks 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="FreshBooks_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install the extension package. Fetch the tools using the streamable HTTP parameters, then pass them to your assistant agent.

Yes. You can assign different tools to different agents. One agent might only have access to `list_clients`, while another handles payments.

No. The framework converts the tool definitions into a format the agents understand natively.

No. The current tools are read-only. Agents can identify issues using `get_account_info` and suggest fixes, but a human must apply them.

The system reads transaction logs and payment amounts purely for agent deliberation. The MCP architecture handles authentication outside the agent's context window via a single endpoint token, meaning the LLM never sees your actual API credentials.

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