domo
 · MCP Server

Domo MCP — Your Business Data, Plain English

Improvado's MCP server connects Domo to Claude, Cursor, and other AI agents. Query datasets, pull card metrics, and surface insights from your Domo instance without writing SQL or clicking through dashboards.

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

Read: Query Domo Datasets Instantly

Ask your AI agent for KPIs, dataset previews, card values, and cross-dataset comparisons. The MCP server connects directly to Domo's API — no exports, no manual lookups.

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: Update and Push Data Without Leaving the Chat

Your AI agent can push new records to Domo datasets, trigger dataflow refreshes, and update card configurations. The MCP server translates natural language into Domo API operations.

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

⚠️ Monitor

Monitor: Know When Datasets Go Stale or Break

Set up watches on dataset freshness, dataflow failures, and KPI thresholds. Your AI agent monitors Domo continuously and flags issues before they affect reporting.

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 push new records to Domo datasets, trigger dataflow refreshes, and update card configurations. The MCP server translates natural language into Domo API operations.

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

Challenge 1

Stale Datasets Feed Wrong Decisions

THE PROBLEM

Domo dataflows fail silently. Teams build reports on data that stopped updating hours ago — and only discover the problem when a stakeholder questions a number in a meeting.

HOW MCP SOLVES IT

Improvado's MCP server lets AI agents monitor Domo dataset freshness continuously. Get alerted the moment a critical dataset goes stale — before it affects decisions.

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

Cross-Dataset Analysis Requires Manual Joins

THE PROBLEM

Getting insights that span multiple Domo datasets means exporting CSVs, building custom dataflows, or writing SQL outside the platform. Ad hoc cross-dataset analysis is slow and brittle.

HOW MCP SOLVES IT

Improvado normalizes data from Domo and 500+ other sources into one queryable layer. AI agents can join Domo datasets with external marketing, finance, or CRM data in a single natural language query.

Challenge 3

Card Performance Is Hard to Audit at Scale

THE PROBLEM

Tracking which Domo cards are used, which are outdated, and which have broken data sources requires manual audits that rarely happen. Organizations accumulate hundreds of stale cards over time.

HOW MCP SOLVES IT

Improvado's MCP server makes Domo card and dataset metadata queryable via AI. Ask which cards haven't been viewed in 90 days, which datasets have no dependents, or which dataflows are failing most often.

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 Domo have an MCP server?
+

Domo does not publish an official MCP server. Improvado provides a hosted MCP server that connects Domo datasets and cards to Claude, Cursor, and other AI tools — with pre-built authentication and a normalized data model.

What Domo data can I query through the MCP server?
+

Datasets, cards, dashboard KPIs, dataflow status, user activity, and metadata. Improvado extracts and normalizes Domo data so your AI agent can answer questions across all of it — including cross-platform comparisons.

Which AI tools work with the Domo MCP server?
+

Any MCP-compatible tool: Claude Desktop, Cursor, Windsurf, ChatGPT, and custom applications. Claude is most commonly used due to native MCP support and strong reasoning over structured data.

Can the AI agent push data back to Domo?
+

Yes. Through the MCP server, AI agents can append records to datasets, trigger dataflow refreshes, and update configurations. Write operations use your Domo API credentials managed securely in Improvado.

How is Domo data secured through the MCP?
+

Improvado stores all API credentials in an encrypted vault under SOC 2 Type II certification. Your AI agent queries Domo through Improvado's secure proxy — credentials are never exposed to the AI model.

Can I combine Domo data with other platforms in the same query?
+

Yes. Improvado connects 500+ data sources through the same MCP server. You can query Domo alongside Salesforce, Google Ads, or financial systems — all in one conversation without building custom integrations.

Does Domo have an MCP server?
Domo does not publish an official MCP server. Improvado provides a hosted MCP server that connects Domo datasets and cards to Claude, Cursor, and other AI tools — with pre-built authentication and a normalized data model.
What Domo data can I query through the MCP server?
Datasets, cards, dashboard KPIs, dataflow status, user activity, and metadata. Improvado extracts and normalizes Domo data so your AI agent can answer questions across all of it — including cross-platform comparisons.
Which AI tools work with the Domo MCP server?
Any MCP-compatible tool: Claude Desktop, Cursor, Windsurf, ChatGPT, and custom applications. Claude is most commonly used due to native MCP support and strong reasoning over structured data.
Can the AI agent push data back to Domo?
Yes. Through the MCP server, AI agents can append records to datasets, trigger dataflow refreshes, and update configurations. Write operations use your Domo API credentials managed securely in Improvado.
How is Domo data secured through the MCP?
Improvado stores all API credentials in an encrypted vault under SOC 2 Type II certification. Your AI agent queries Domo through Improvado's secure proxy — credentials are never exposed to the AI model.
Can I combine Domo data with other platforms in the same query?
Yes. Improvado connects 500+ data sources through the same MCP server. You can query Domo alongside Salesforce, Google Ads, or financial systems — all in one conversation without building custom integrations.

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