smartsheet · MCP Server

Smartsheet + Improvado MCP — Sheet Data, Queryable in Plain English

Improvado connects Smartsheet to Claude, ChatGPT, and any MCP-compatible AI agent. Query project timelines, resource capacity, row-level data, and automation activity — all in natural language, without building reports.

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

Read

Read: Query Any Sheet Without Building Reports

Stop building Smartsheet reports and exporting to Excel. Ask your AI agent for rows matching any criteria, rollup summaries, timeline gaps, resource allocation stats, or automation run history — across any sheet, workspace, or date range.

Example prompts

"Which rows in the project tracker have a status of 'At Risk' or 'Off Track' with due dates in the next 14 days?"

20 min → 20 sec

"Summarize resource allocation across all active projects. Who's over-committed for the next two weeks?"

30 min → 30 sec

"Compare planned vs actual completion dates for all Q2 deliverables. Which categories ran most over schedule?"

2 hrs → 2 min

Works with Claude ChatGPT Cursor +5

Write

Write: Update Sheets Through Conversation

Your AI agent doesn't just read Smartsheet data — it acts on it. Update cell values, add rows, change statuses, assign owners, and create new sheets from templates — all through natural language.

Example prompts

"Mark all rows in the launch checklist with no owner assigned as 'Needs Owner' and flag them red."

15 min → 30 sec

"Add a new project row to the master tracker: name, Q3 website redesign, owner: marketing team, due date: September 30."

5 min → 15 sec

"Create a new sheet from the campaign planning template. Pre-fill the name, start date, and owner column."

15 min → 2 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Track Sheet Changes and Project Risk Automatically

Set up watches on the Smartsheet data that drives decisions. Your AI monitors sheet changes, project status updates, and deadline gaps — flagging risks before they show up in a leadership report.

Example prompts

"Alert me when any row in the executive dashboard sheet changes its status to 'Off Track'."

Manual → auto

"Every Monday at 8am: send a summary of rows with due dates this week, their current status, and assigned owners."

1 hr → auto

"Flag any project where the planned end date has been pushed back more than twice in 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

Cross-Sheet Reporting Requires Manual Assembly

The problem

Project data lives across 20+ Smartsheets. Getting a consolidated view — which projects are at risk, which are on track, who's over-allocated — means opening each sheet, applying filters, and assembling a summary manually. This happens every Monday and takes 2 hours.

How MCP solves it

Improvado extracts data from all connected Smartsheets into a unified queryable model. The MCP server lets your AI generate a consolidated cross-sheet report in seconds — any criteria, any combination of sheets.

Try asking

Across all project tracking sheets, show me rows with status 'At Risk' or 'Behind' and their owners.

Answer in seconds

All data sources, one query

Challenge 2

Smartsheet Automations Run Silently and Fail Silently

The problem

Smartsheet automations handle row updates, notifications, and approvals. When they stop working — because of a trigger condition change or permission issue — nothing alerts the team. Workflows break quietly, and data integrity suffers.

How MCP solves it

Improvado tracks Smartsheet automation activity and normalizes it into a queryable model. The MCP server lets your AI audit which automations are active, when they last ran, and whether any have stopped firing — before silent failures cause downstream data problems.

Try asking

Which Smartsheet automations haven't triggered in the last 7 days? Are any expected to run regularly?

Full detail preserved

No data loss on export

Challenge 3

Smartsheet Data Can't Be Combined with Other Business Data

The problem

Project data in Smartsheet can't be easily joined with CRM pipeline, financial data, or marketing budgets. Cross-functional analysis — like comparing project spend vs revenue impact — requires exporting to spreadsheets and manually joining two separate datasets.

How MCP solves it

Improvado normalizes Smartsheet data alongside data from CRMs, finance tools, and marketing platforms. The MCP server lets your AI cross-reference project data with other business systems in a single query — no manual joining required.

Try asking

For projects marked 'Completed' in Smartsheet in Q2, what was the associated pipeline impact in our CRM?

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 Smartsheet data can I access through the MCP server?

Sheet rows and columns (including all cell values and formulas), reports, dashboards, attachment metadata, comments, automation run history, workspace structure, and resource management data. Custom column types — including dropdown lists, contact lists, and date fields — are all queryable.

Can the AI write back to Smartsheet or just read data?

Both. Read operations include all row, sheet, and automation analytics. Write operations include adding and updating rows, changing cell values, assigning owners, creating sheets from templates, and updating column configurations. Permissions are scoped to your Smartsheet API credentials.

Does this work with Smartsheet Reports and Dashboards?

Yes. The MCP server can query data from Smartsheet Reports (cross-sheet aggregations) and surface the underlying row data powering dashboards. This gives your AI access to the same rollup logic you've already configured in Smartsheet — all through Improvado's hosted MCP server.

Which AI tools work with this Smartsheet MCP server?

Any MCP-compatible client — Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using MCP HTTP transport. Claude is the most commonly used due to native MCP support — all through Improvado's hosted MCP server.

Can I query data from multiple sheets at once?

Yes. Improvado normalizes data across all connected Smartsheets into a unified model. Your AI can query across any number of sheets simultaneously — no need to manually join exports or switch between views.

How long does setup take?

If you're already an Improvado user, connect Smartsheet in the integrations panel and start querying at app.improvado.io/agent. For Claude Desktop or Cursor, add one line to your MCP config — under 60 seconds.

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