Connector guide2-minute read9 MCP tools7 languages

How to Connect FreshBooks to Gemini — via MCP

Manage FreshBooks (invoices, clients, expenses, time entries, payments) from any AI agent. 9 tools, OAuth2 auth.

HCBy HelpCode teamUpdated 2 min read Open-source on GitHub

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FreshBooks

FreshBooks

Manage FreshBooks (invoices, clients, expenses, time entries, payments) from any AI agent. 9 tools, OAuth2 auth.

tools

9

Region

INTL

Category

Accounting

Authentication

OAuth 2.0

Required env vars

FRESHBOOKS_CLIENT_IDFRESHBOOKS_CLIENT_SECRETFRESHBOOKS_ACCOUNT_ID
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  • Open-source on GitHub
    Open source · AGPL-3.0
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

Skip the install. Get this working in under 2 minutes.

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Summary

Manage FreshBooks (invoices, clients, expenses, time entries, payments) from any AI agent. 9 tools, OAuth2 auth.

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Example prompts for FreshBooks

Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.

FreshBooks · live via MCP
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Opus 4.7

Claude is AI and can make mistakes. Please double-check responses.

💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → FreshBooks, paste your credentials, mint an MCP API key — done. No Docker, no git clone, no local server.

FreshBooks + Gemini

Manage FreshBooks (invoices, clients, expenses, time entries, payments) from any AI agent. 9 tools, OAuth2 auth.

Prerequisites

See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:

FRESHBOOKS_CLIENT_ID, FRESHBOOKS_CLIENT_SECRET, FRESHBOOKS_REFRESH_TOKEN, FRESHBOOKS_ACCOUNT_ID

Step 1 — Get credentials

This connector wraps the FreshBooks New API (api.freshbooks.com/accounting).

Setup — OAuth2 refresh flow:

  1. Go to https://my.freshbooks.com/#/developer → Create an App. Set redirect URI to your callback.
  2. Run the auth flow: https://my.freshbooks.com/oauth/authorize?response_type=code&client_id=...&redirect_uri=...&scope=user:profile:read user:clients:read user:invoices:read user:invoices:write user:expenses:read user:time_entries:read user:payments:read user:payments:write.
  3. Exchange the code at https://api.freshbooks.com/auth/oauth/token for access + refresh tokens.
  4. …

Step 2 — Install the adapter

curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d

Step 3 — Add the connector in Gemini

Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide shows YOUR_SERVER_ID.

Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID",
      "headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
    }
  }
}
  1. Get your MCP API key from AnythingMCP → MCP Servers → your server → API keys.
  2. Save the file and restart gemini.
  3. Run /mcp inside the Gemini CLI — FreshBooks should be listed as available.
  4. Vertex AI Studio: pass https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID to the tools array of your request with the same X-API-Key header.

Available tools

ToolWhat it does
freshbooks_meReturn the authenticated user with business memberships and their account IDs
freshbooks_list_clientsList clients in an account
freshbooks_create_clientCreate a client
freshbooks_list_invoicesList invoices
freshbooks_get_invoiceGet a single invoice with all lines + payments
freshbooks_create_invoiceCreate an invoice
freshbooks_list_expensesList expenses
freshbooks_list_paymentsList payments received against invoices
freshbooks_record_paymentRecord a payment against an invoice

FAQ

Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with custom headers.

Next steps

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