harvest · MCP Server

From Harvest to AI Agent — Improvado MCP

Improvado's MCP server gives your AI agent direct access to Harvest time tracking and invoicing data. Ask about billable hours, project budgets, and team utilization in plain English. Works with Claude, Cursor, and any MCP-compatible AI tool.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Pull Time, Budget, and Utilization Data Instantly

No more CSV exports from Harvest. Ask your AI agent about billable rates, project burn, and team utilization across all clients and date ranges. The MCP server handles the Harvest API calls in the background.

Example prompts

"Which projects are over budget this month? Show hours logged vs. budget remaining."

30 min → 25 sec

"What's our billable utilization rate by team member this quarter?"

20 min → 15 sec

"Compare invoiced vs. actual hours across all active clients for Q1."

2 hrs → 2 min

Works with Claude ChatGPT Cursor +5

Write

Write: Log Time and Update Projects Without Switching Apps

Your AI agent can create time entries, update project budgets, and manage invoices directly through the Harvest MCP connection. Stay in the conversation — no tab switching required.

Example prompts

"Log 3.5 hours on the Acme redesign project under 'strategy' for today."

3 min → 10 sec

"Increase the budget for Project 4821 by 20 hours and notify the project manager."

8 min → 20 sec

"Create a draft invoice for all unbilled hours on the Northstar account through end of March."

45 min → 2 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Stay Ahead of Budget Overruns and Utilization Gaps

Set up ongoing watches on project burn rates and team utilization. Your AI agent alerts you before a project goes over budget or a team member's billable hours fall below target.

Example prompts

"Alert me when any project reaches 80% of its hour budget."

Manual → auto

"Every Friday: send a utilization report showing billable vs. non-billable hours by person."

2 hrs → auto

"Flag any client with more than 10 uninvoiced hours older than 30 days."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Project Margins Get Discovered Too Late

The problem

Teams often find out a project went over budget after the work is done. By the time someone runs the hours report, the damage is already priced in and the conversation with the client is awkward.

How MCP solves it

Improvado pulls Harvest budget and hours data in real time. The MCP server lets your AI agent track burn rate continuously and surface margin warnings while there's still time to act.

Try asking

Which active projects are on track to exceed their hour budget by end of month?

Answer in seconds

All data sources, one query

Challenge 2

Multi-Client Utilization Is a Spreadsheet Problem

The problem

Tracking billable utilization across dozens of clients and team members means exporting CSVs, building pivot tables, and repeating the process every week. It takes hours and the data is stale by the time it's ready.

How MCP solves it

Improvado normalizes Harvest data into a queryable model. Ask about utilization by person, client, or project type — the MCP server returns answers in seconds, not hours.

Try asking

Who had the lowest billable utilization last week, and what were they working on?

Full detail preserved

No data loss on export

Challenge 3

Invoicing Delays Hurt Cash Flow

The problem

Unbilled hours accumulate when invoicing is a manual process. Teams with 20+ active projects lose track of what's been invoiced, what's pending, and what was never sent at all.

How MCP solves it

Improvado tracks invoice status and unbilled hours across all Harvest projects. The AI agent can identify overdue invoicing, draft summaries, and trigger invoice creation without leaving the chat.

Try asking

List all clients with uninvoiced hours. Sort by total hours and show last invoice date.

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

Does Harvest have an MCP server?

Harvest does not publish an official MCP server. Improvado provides a hosted MCP integration that connects Harvest time tracking, project, and invoice data to Claude, Cursor, and other AI tools through a single MCP endpoint.

What Harvest data can AI agents access through Improvado?

Time entries, project budgets, billable rates, team utilization, invoice status, client records, and expense data. All queryable in natural language through the MCP server — all through Improvado's hosted MCP server.

Can the AI agent create time entries in Harvest?

Yes. The Harvest MCP integration supports both read and write operations. AI agents can log time entries, update project budgets, and trigger invoice creation directly through the MCP connection — all through Improvado's hosted MCP server.

How does Improvado handle Harvest API rate limits?

Improvado manages Harvest API pagination and rate limiting server-side. Queries that would otherwise hit API limits — like pulling all time entries across 50+ projects — are handled automatically without errors or partial results.

Which AI tools work with the Harvest MCP integration?

Any MCP-compatible tool: Claude Desktop, Cursor, Windsurf, ChatGPT, Gemini, or custom applications using MCP HTTP transport. Claude is the most common choice due to its native MCP support — all through Improvado's hosted MCP server.

Is Harvest data secure when accessed through the MCP server?

Yes. Improvado is SOC 2 Type II certified. API credentials are stored in an encrypted vault. Your AI agent queries data through Improvado's secure proxy — no raw tokens are exposed to the AI model.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms