How do I get an Access Token for FreshBooks?

You can find your Access Token in your FreshBooks application settings or by creating a Personal Access Token in the FreshBooks Developer Portal.

Where do I find my FreshBooks Account ID?

Your Account ID is the unique number visible in your browser's URL bar immediately after '/portal/' when you are logged into FreshBooks.

Can I see if a specific invoice has been paid?

Yes! Use the 'get_invoice_details' tool and provide the Invoice ID. The agent will return the current status, including whether it is 'Sent', 'Paid', or 'Overdue'.

Is time tracking data accessible via the agent?

Yes, the 'list_time_entries' tool allows you to retrieve all time tracking logs for your business, keeping your project productivity in view.

FreshBooks MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: FreshBooks
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect FreshBooks through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "freshbooks": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using FreshBooks, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About FreshBooks MCP Server

Connect your FreshBooks account to any AI agent to automate your small business accounting, invoicing, and client management through the Model Context Protocol (MCP). FreshBooks is the leading cloud-based accounting software designed for small businesses and self-employed professionals. This MCP server enables you to manage your clients, track invoice statuses, and retrieve financial summaries directly through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with FreshBooks through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

Key Features

Client Management — List and search for clients, fetch detailed profiles, and maintain full context of your customer relationships.
Invoice Lifecycle — Track sales invoices across all states (Sent, Paid, Overdue) and retrieve detailed line-item metadata.
Expense Oversight — Monitor recorded business expenses and categorize them for better financial tracking.
Payment History — Retrieve a list of all payments received to ensure your cash flow is accurately monitored.
Project & Task Tracking — Access projects, tasks, and time entries to see how they impact your billing and productivity.
User Identity — Fetch global user profile and identity details to ensure you are working in the correct account context.
Financial Insights — Access high-level metadata for your specific FreshBooks business account instantly.

The FreshBooks MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect FreshBooks to LangChain via MCP

Follow these steps to integrate the FreshBooks MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from FreshBooks via MCP

Why Use LangChain with the FreshBooks MCP Server

LangChain provides unique advantages when paired with FreshBooks through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine FreshBooks MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across FreshBooks queries for multi-turn workflows

FreshBooks + LangChain Use Cases

Practical scenarios where LangChain combined with the FreshBooks MCP Server delivers measurable value.

RAG with live data: combine FreshBooks tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query FreshBooks, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain FreshBooks tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every FreshBooks tool call, measure latency, and optimize your agent's performance

FreshBooks MCP Tools for LangChain (12)

These 12 tools become available when you connect FreshBooks to LangChain via MCP:

get_account_info

Get business info

get_client_details

Get client metadata

get_invoice_details

Get invoice metadata

get_my_identity

Get user identity

list_active_projects

List projects

list_clients

List clients

list_expense_categories

List categories

list_expenses

List tracked expenses

list_invoices

List sales invoices

list_payments

List invoice payments

list_project_tasks

List tasks

list_time_entries

List time logs

Example Prompts for FreshBooks in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with FreshBooks immediately.

"List my 5 most recent clients in FreshBooks."

"Show me the status of my last 3 invoices."

"Get my time tracking entries for this week."

Troubleshooting FreshBooks MCP Server with LangChain

Common issues when connecting FreshBooks to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

FreshBooks + LangChain FAQ

Common questions about integrating FreshBooks MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.