How to Use the FreshBooks MCP in Google ADK

Q: Does this MCP server allow FreshBooks to talk to BigQuery?

Your agent acts as the bridge. It fetches data via listexpenses or listinvoices and then writes that information into your BigQuery tables for long-term analysis.

Q: What tools are available for FreshBooks in Google ADK?

You get all twelve tools, including listclients and getinvoicedetails. You can restrict these using the toolnames filter if you only need a subset.

Integrate your Google ADK agents with FreshBooks to pull accounting data directly into your BigQuery and Vertex AI pipelines.

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Connect FreshBooks MCP to Google ADK

Create your Vinkius account to connect FreshBooks to Google ADK 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 Google ADK

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Sync FreshBooks with Google ADK agents

Connect your agent to your business ledger using the `list_invoices` and `list_expenses` tools. This setup lets your Gemini-powered agent analyze spending patterns alongside your cloud infrastructure data. Use `get_account_info` to initialize your agent with the correct business context. It ensures your agent understands the specific entity it is querying before running any reports.

Streamline time tracking with Google ADK

Your agent can pull data from `list_time_entries` and `list_project_tasks` to feed your reporting dashboards. It allows you to correlate billable hours with project performance metrics stored in your cloud environment. Map these tasks to your client records using `list_clients`. Your agent constructs a complete picture of your project status by merging these sources.

Execute financial queries via Google ADK

Query your payment history using `list_payments` to keep your records current. Your agent can alert you to unpaid invoices as soon as it identifies them in the feed. Apply a tool filter if you only want to expose specific functions to your agent. This limits the scope of what the model can touch while maintaining full access to the data you need.

Setup guide

Set up FreshBooks MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with FreshBooks tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="FreshBooks_agent",
    model="gemini-2.0-flash",
    instruction="You have access to FreshBooks tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

The server exposes tools that the ADK agent calls via HTTP or Stdio. Your agent then processes the returned JSON data within its context window.

Yes. The Vinkius-hosted server provides an endpoint that your Google ADK agent connects to. This keeps your accounting data accessible to your cloud-based agents.

Your agent acts as the bridge. It fetches data via `list_expenses` or `list_invoices` and then writes that information into your BigQuery tables for long-term analysis.

You get all twelve tools, including `list_clients` and `get_invoice_details`. You can restrict these using the tool_names filter if you only need a subset.

The server uses ephemeral sessions and requires an endpoint token. Your financial records are never stored by the agent, and access is limited to the tools you authorize.

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