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Freshbooks

Freshbooks

Local
github.com/asklokeshFinance0Updated 43w ago

About Freshbooks

Freshbooks is an MCP server that connects GenAI applications to FreshBooks small-business accounting software through its API. It provides broad API coverage, multiple authentication methods, rate limiting, retries, and asynchronous support.

Key features

  1. 01Broad FreshBooks API coverage
  2. 02Multiple authentication methods
  3. 03Rate limiting
  4. 04Error handling and retries
  5. 05Asynchronous support

Use cases

  1. 01Connecting GenAI applications to FreshBooks
  2. 02Handling API requests with retries
  3. 03Using FreshBooks with different authentication methods

MCP support

Exposes FreshBooks API capabilities to MCP clients, enabling GenAI applications to integrate with the accounting software.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"asklokesh-freshbooks": {
"command": "uvx",
"args": [
"freshbooks-mcp-server"
],
"env": {
"FRESHBOOKS_API_KEY": "<FRESHBOOKS_API_KEY>",
"FRESHBOOKS_API_URL": "<FRESHBOOKS_API_URL>"
}
}
}
}
Run commanduvx freshbooks-mcp-server
Environment variables to set
FRESHBOOKS_API_KEYSecretAPI Key for FRESHBOOKS
FRESHBOOKS_API_URLAPI URL for FRESHBOOKS

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypifreshbooks-mcp-server0.1.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

FreshBooks MCP Server

Freshbooks Mcp Server

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Python MCP

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A Model Context Protocol (MCP) server for integrating FreshBooks with GenAI applications.

Overview

Small business accounting software

Features

  • Comprehensive FreshBooks API coverage
  • Multiple authentication methods
  • Enterprise-ready with rate limiting
  • Full error handling and retry logic
  • Async support for better performance

Installation

pip install freshbooks-mcp-server

Or install from source:

git clone https://github.com/asklokesh/freshbooks-mcp-server.git
cd freshbooks-mcp-server
pip install -e .

Configuration

Create a .env file or set environment variables according to FreshBooks API requirements.

Quick Start

from freshbooks_mcp import FreshbooksMCPServer

# Initialize the server
server = FreshbooksMCPServer()

# Start the server
server.start()

License

MIT License - see LICENSE file for details

Comments

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From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.