Connector guide2-minute read10 MCP tools7 languages

How to Connect Harvest to Gemini — via MCP

Manage Harvest (time tracking, projects, clients, invoices, expenses) from any AI agent. 10 tools, Bearer auth with account-ID header.

HCBy HelpCode teamUpdated 2 min read Open-source on GitHub

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Harvest

Harvest

Manage Harvest (time tracking, projects, clients, invoices, expenses) from any AI agent. 10 tools, Bearer auth with account-ID header.

tools

10

Region

INTL

Category

Time Tracking

Authentication

Bearer Token

Required env vars

HARVEST_ACCESS_TOKENHARVEST_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.

Start a free trial on cloud.anythingmcp.com, add the Harvest in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.

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Summary

Manage Harvest (time tracking, projects, clients, invoices, expenses) from any AI agent. 10 tools, Bearer auth with account-ID header.

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Example prompts for Harvest

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

Harvest · 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 → Harvest, paste your credentials, mint an MCP API key — done. No Docker, no git clone, no local server.

Harvest + Gemini

Manage Harvest (time tracking, projects, clients, invoices, expenses) from any AI agent. 10 tools, Bearer auth with account-ID header.

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:

HARVEST_ACCESS_TOKEN, HARVEST_ACCOUNT_ID

Step 1 — Get credentials

This connector wraps the Harvest API v2 (api.harvestapp.com/v2).

Setup:

  1. Log into https://id.getharvest.com → bottom-left avatar → Developers → Create new personal access token.
  2. Copy the token and the Account ID shown on the same page (a 7-digit number like 1234567).
  3. Set both: HARVEST_ACCESS_TOKEN and HARVEST_ACCOUNT_ID.

Authentication: every request requires BOTH:

  • Authorization: Bearer ${HARVEST_ACCESS_TOKEN}
  • Harvest-Account-Id: ${HARVEST_ACCOUNT_ID}
  • A User-Agent header (Harvest API requires it — the adapter sets AnythingMCP ([email protected])).

…(continued in the in-app connector instructions)

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 — Harvest 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
harvest_who_am_iReturn the currently authenticated user: id, first_name, last_name, email, is_admin, default_hourly_rate, weekly_capacity
harvest_list_clientsList clients
harvest_list_projectsList projects
harvest_list_tasksList task templates (the canonical Harvest 'task' types: 'Programming', 'Design', etc
harvest_list_time_entriesList time entries
harvest_create_time_entryLog time on a project + task
harvest_update_time_entryUpdate fields on an existing time entry (notes, hours, project, task)
harvest_stop_timerStop a currently-running time entry timer
harvest_list_invoicesList invoices
harvest_list_expensesList expenses

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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