Power BI
 · MCP Server

Power BI MCP — Get Answers Without Opening a Report

Improvado's MCP server connects Power BI workspaces to AI agents. Query datasets, inspect DAX measures, check report usage, and extract insights — all in plain English. Works with Claude, ChatGPT, and any MCP-compatible tool.

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

Read: Query Power BI Datasets Without Opening the Report

Skip the report navigation. Ask your AI agent for the numbers you need — revenue by region, dashboard refresh status, dataset row counts, or DAX measure values — and get answers 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: Trigger Refreshes and Update Reports Through Chat

Trigger dataset refreshes, update report parameters, publish new report versions, and manage workspace access — all through natural language. Routine Power BI admin work handled in one prompt.

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

⚠️ Monitor

Monitor: Catch Refresh Failures and Usage Drops Early

Your AI agent watches Power BI for dataset refresh failures, capacity overages, and report access anomalies. Get notified before stakeholders notice something is wrong.

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

Trigger dataset refreshes, update report parameters, publish new report versions, and manage workspace access — all through natural language. Routine Power BI admin work handled in one prompt.

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

Challenge 1

Dataset Refresh Failures Go Unnoticed Until a Meeting

THE PROBLEM

A key sales dashboard refreshes at 6am. The refresh fails silently. At 9am, the VP of Sales presents stale data to the board. Nobody knew because the failure notification went to an unmonitored inbox and nobody manually checks refresh history.

HOW MCP SOLVES IT

Improvado's MCP server monitors Power BI refresh status continuously. When a failure occurs, your AI agent sends an immediate notification with the error detail and dataset name — before the first report consumer opens the dashboard.

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

Extracting Numbers from Reports Requires Opening Them

THE PROBLEM

A stakeholder emails asking for the current pipeline coverage ratio from the CRM Opportunities report. You have to open Power BI, navigate to the workspace, find the report, filter to the right page, locate the visual, and copy the number. For one data point. Multiple times per day.

HOW MCP SOLVES IT

Ask your AI agent directly. The MCP server queries the Power BI dataset behind the report and returns the exact measure value — without opening any report. Stakeholder questions answered in seconds, not minutes.

Challenge 3

Power BI Governance Is Manual and Always Behind

THE PROBLEM

The organization has 300+ reports across 20 workspaces. Identifying stale reports, finding who has access to sensitive datasets, auditing refresh schedules, and cleaning up unused content requires clicking through each workspace manually or building custom scripts against the Admin API.

HOW MCP SOLVES IT

Your AI agent runs governance queries across all Power BI workspaces through one MCP connection. Surface stale reports, audit dataset access, find orphaned dashboards, and generate a cleanup plan in minutes instead of days.

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 Power BI data can I access through the MCP server?
+

Datasets and their schemas, report metadata and page structure, dashboard tiles and measure values, workspace contents and access lists, refresh history and schedules, and capacity utilization metrics. Essentially everything exposed through the Power BI REST API, queryable in plain English.

Can the AI agent trigger dataset refreshes and modify reports?
+

Yes. Write operations include triggering dataset refreshes, updating report parameters, managing workspace access, and publishing report versions. All operations require confirmation before execution and are logged in the Power BI audit log.

Does this work with Power BI Embedded and on-premises Report Server?
+

Power BI Service (cloud) is fully supported. Power BI Embedded workspaces that use the same REST API are also compatible. Power BI Report Server (on-premises) has limited API support — contact Improvado to discuss your specific setup.

How does this differ from just using Power BI's Q&A feature?
+

Power BI's Q&A feature works within individual reports and is limited to that report's data model. Improvado's MCP server works across all your workspaces and datasets simultaneously, integrates into any AI tool you already use, and can combine Power BI data with data from other platforms in one query.

Does the Power BI MCP integration require a Power BI Premium license?
+

The Power BI MCP integration uses the Power BI REST API, which is available to Power BI Pro and Premium users. Some API endpoints — particularly those for accessing datasets in shared workspaces or using the Execute Queries API — require at least a Pro license for both the integration's service account and the workspace. Premium Per User or Premium capacity licenses unlock additional API capabilities, but basic report and dataset metadata access is available at the Pro tier. Check Microsoft's Power BI REST API documentation for the license requirements of specific endpoints you intend to use.

Can the Power BI MCP integration execute DAX queries against published datasets?
+

Yes, the Power BI MCP integration supports the Execute Queries API endpoint, which allows DAX queries to be run against published semantic models (datasets) in your Power BI workspace. An AI agent can translate a natural-language question into a DAX query, execute it against the appropriate dataset, and return the results as a structured answer. This is a powerful capability for analysts who want to interrogate certified Power BI models without opening Power BI Desktop or building a new report.

What Power BI data can I access through the MCP server?
Datasets and their schemas, report metadata and page structure, dashboard tiles and measure values, workspace contents and access lists, refresh history and schedules, and capacity utilization metrics. Essentially everything exposed through the Power BI REST API, queryable in plain English.
Can the AI agent trigger dataset refreshes and modify reports?
Yes. Write operations include triggering dataset refreshes, updating report parameters, managing workspace access, and publishing report versions. All operations require confirmation before execution and are logged in the Power BI audit log.
Does this work with Power BI Embedded and on-premises Report Server?
Power BI Service (cloud) is fully supported. Power BI Embedded workspaces that use the same REST API are also compatible. Power BI Report Server (on-premises) has limited API support — contact Improvado to discuss your specific setup.
How does this differ from just using Power BI's Q&A feature?
Power BI's Q&A feature works within individual reports and is limited to that report's data model. Improvado's MCP server works across all your workspaces and datasets simultaneously, integrates into any AI tool you already use, and can combine Power BI data with data from other platforms in one query.
Does the Power BI MCP integration require a Power BI Premium license?
The Power BI MCP integration uses the Power BI REST API, which is available to Power BI Pro and Premium users. Some API endpoints — particularly those for accessing datasets in shared workspaces or using the Execute Queries API — require at least a Pro license for both the integration's service account and the workspace. Premium Per User or Premium capacity licenses unlock additional API capabilities, but basic report and dataset metadata access is available at the Pro tier. Check Microsoft's Power BI REST API documentation for the license requirements of specific endpoints you intend to use.
Can the Power BI MCP integration execute DAX queries against published datasets?
Yes, the Power BI MCP integration supports the Execute Queries API endpoint, which allows DAX queries to be run against published semantic models (datasets) in your Power BI workspace. An AI agent can translate a natural-language question into a DAX query, execute it against the appropriate dataset, and return the results as a structured answer. This is a powerful capability for analysts who want to interrogate certified Power BI models without opening Power BI Desktop or building a new report.

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