Basecamp
 · MCP Server

Basecamp MCP — Your Projects and Team Data, One Question Away

Improvado gives your AI agent direct access to Basecamp data through an MCP server. Query project status, to-do completion, team workload, and message threads — all in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.

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

Read: Pull Project and Task Data Instantly

Stop clicking through Basecamp projects one by one. Ask your AI agent for overdue tasks, project health summaries, and team workload distributions across all active Basecamps in seconds.

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: Create and Update Tasks via Chat

Your AI agent can act on project data — not just read it. Create to-dos, move items between lists, update due dates, and post message board updates directly from the conversation.

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

⚠️ Monitor

Monitor: Project Health and Deadline Alerts

Catch project drift before it becomes a missed deadline. Your AI agent monitors Basecamp for stalled projects, overdue items, and low activity — and sends alerts before things fall off track.

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 act on project data — not just read it. Create to-dos, move items between lists, update due dates, and post message board updates directly from the conversation.

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

Challenge 1

Cross-Project Status Updates Are a Time Sink

THE PROBLEM

Project managers and leaders who oversee multiple Basecamp projects spend significant time clicking into each one to understand current status. Building a cross-project summary for a weekly review means opening 10+ tabs, scanning message boards, and compiling notes manually.

HOW MCP SOLVES IT

Improvado's MCP server aggregates data across all Basecamp projects in a single query. Ask your AI agent for a cross-project health summary in seconds — overdue items, recent activity, and upcoming deadlines in one answer.

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

Team Workload Is Invisible Without Manual Counting

THE PROBLEM

Basecamp doesn't provide native workload views across projects. Understanding whether a team member is overloaded or underutilized requires manually counting their assigned to-dos across all projects — something no manager actually does consistently.

HOW MCP SOLVES IT

Ask the AI agent for a workload breakdown by person across all projects. It tallies assigned to-dos, due dates, and completion rates per person — making imbalances immediately visible so work can be redistributed before deadlines slip.

Challenge 3

Connecting Basecamp Activity to Business Outcomes

THE PROBLEM

Basecamp tracks tasks and messages, but connecting project activity to business metrics — campaign launches, product releases, revenue milestones — requires manual correlation. Teams can't answer 'did we deliver on time?' without digging through task histories.

HOW MCP SOLVES IT

Improvado normalizes Basecamp project data alongside marketing and product performance data. The AI agent can correlate project completion timelines with downstream business results — answering whether delays affected outcomes.

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

What is a Basecamp MCP server?
+

A Basecamp MCP server is a Model Context Protocol integration that lets AI agents like Claude query your Basecamp workspace data in natural language. Improvado's hosted MCP server connects to Basecamp's API, handles authentication, and makes projects, to-dos, and messages queryable through any MCP-compatible tool.

Which AI tools work with the Basecamp MCP server?
+

Any MCP-compatible tool: Claude Desktop, Cursor, Windsurf, ChatGPT, and custom MCP clients. Claude is most commonly used for project analytics because of its ability to reason about task dependencies, deadlines, and team workloads in a single conversation.

Is my Basecamp data secure through the MCP server?
+

Yes. Improvado is SOC 2 Type II certified. Your Basecamp API credentials are stored in an encrypted vault and never exposed to AI clients. All queries run through Improvado's secure proxy.

Can the AI agent create or update tasks in Basecamp?
+

Yes, with write permissions enabled. The AI agent can create to-dos, update due dates, move items between lists, and post message board updates. Write access is scoped to the permissions you configure and all operations are logged.

Does this work with Basecamp 3 and Basecamp 4?
+

Yes. Improvado supports Basecamp 3 and the current Basecamp (formerly Basecamp 4) via the official Basecamp API. Project, to-do, and message data from both versions are accessible through the same MCP connection.

How is this different from Basecamp's built-in reporting?
+

Basecamp's native reports focus on individual project activity within the platform. Improvado's MCP server enables cross-project queries, workload analysis across team members, and the ability to combine Basecamp project data with other business data sources — all through natural language, without building custom reports.

What is a Basecamp MCP server?
A Basecamp MCP server is a Model Context Protocol integration that lets AI agents like Claude query your Basecamp workspace data in natural language. Improvado's hosted MCP server connects to Basecamp's API, handles authentication, and makes projects, to-dos, and messages queryable through any MCP-compatible tool.
Which AI tools work with the Basecamp MCP server?
Any MCP-compatible tool: Claude Desktop, Cursor, Windsurf, ChatGPT, and custom MCP clients. Claude is most commonly used for project analytics because of its ability to reason about task dependencies, deadlines, and team workloads in a single conversation.
Is my Basecamp data secure through the MCP server?
Yes. Improvado is SOC 2 Type II certified. Your Basecamp API credentials are stored in an encrypted vault and never exposed to AI clients. All queries run through Improvado's secure proxy.
Can the AI agent create or update tasks in Basecamp?
Yes, with write permissions enabled. The AI agent can create to-dos, update due dates, move items between lists, and post message board updates. Write access is scoped to the permissions you configure and all operations are logged.
Does this work with Basecamp 3 and Basecamp 4?
Yes. Improvado supports Basecamp 3 and the current Basecamp (formerly Basecamp 4) via the official Basecamp API. Project, to-do, and message data from both versions are accessible through the same MCP connection.
How is this different from Basecamp's built-in reporting?
Basecamp's native reports focus on individual project activity within the platform. Improvado's MCP server enables cross-project queries, workload analysis across team members, and the ability to combine Basecamp project data with other business data sources — all through natural language, without building custom reports.

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