basecamp · MCP Server

Improvado MCP — Basecamp Data, Ready for Any Question

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.

Example prompts

"Which projects have to-dos overdue by more than 7 days? List them with the assigned person."

20 min → 30 sec

"What's the to-do completion rate by project this month? Which teams are falling behind?"

25 min → 40 sec

"Show me all to-dos assigned to the design team that are due this week."

10 min → 15 sec

Works with Claude ChatGPT Cursor +5

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.

Example prompts

"Create a to-do list called 'Q2 Launch Checklist' in the Marketing project with these 8 items."

10 min → 1 min

"Move all to-dos tagged 'blocked' to a new list called 'Needs Resolution' and notify the project owner."

15 min → 2 min

"Extend due dates by one week for all open to-dos in the Product Roadmap project."

20 min → 1 min

Every action logged · Fully reversible · SOC 2 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.

Example prompts

"Alert me when a project has had no activity for more than 5 business days."

Manual → auto

"Notify me when any project's overdue to-do count exceeds 10 items."

Manual → auto

"Every Friday afternoon: send a project health summary — completion rates, overdue items, and upcoming deadlines."

2 hrs → 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

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

Give me a health summary of all active projects: completion rate, overdue tasks, and last activity date.

Answer in seconds

All data sources, one query

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.

Try asking

Show me open to-do count and overdue items per person across all active projects. Who is most overloaded?

Full detail preserved

No data loss on export

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

Which projects launched late last quarter? How did their post-launch performance compare to on-time projects?

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

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 — all through Improvado's hosted MCP server.

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