harvest
 · MCP Server

Harvest MCP — Time Data, Zero Friction

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.

Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 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.

250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II 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.

Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Closed Loop: Read → Decide → Write → Monitor

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.

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

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
"Show ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
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.

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
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
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.
👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.

Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.

Frequently Asked 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.

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.

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.

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.

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.
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.
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.
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
46K+ Metrics