Make.com MCP — Your Automation Data, One Question Away
Improvado MCP extracts data from Make.com and makes it queryable by any AI agent. Ask about scenario performance, execution history, and error patterns without opening a single dashboard.
46K+ metrics · Read & Write access · 500+ platforms · <60s setup
Ask Any Question About Your Automation Workflows
Improvado MCP connects your Make.com data to AI, so teams can query scenario execution stats, operation volumes, and error logs in plain English — no SQL, no manual exports.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Which scenarios failed most often this week?
45 min → 30 sec
Show total operations by scenario last month
Manual → auto
What's the execution trend for payment workflows?
2 hrs → 1 min
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
Pause all scenarios with error rate above 10%
1 hr → 2 min
Update webhook URL for CRM sync scenario
Manual → auto
Enable all disabled scenarios tagged as critical
3 hrs → 5 min
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
Act on Insights Without Leaving Your AI Workflow
Pause scenarios, update configurations, and trigger actions directly from your AI agent — without switching context or opening Make.com manually.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Stay Ahead of Automation Failures and Anomalies
Monitor execution spikes, error rate changes, and operation volume anomalies automatically — your AI agent surfaces what matters before it becomes a problem.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Alert me if any scenario error rate exceeds 15%
Daily manual → auto
Which scenarios haven't run in 7 days?
Weekly report → instant
Track operation volume spikes across all workflows
Manual → auto
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
One conversation. All six phases. Every platform.
The Closed Loop: Read → Decide → Write → Monitor
Pause scenarios, update configurations, and trigger actions directly from your AI agent — without switching context or opening Make.com manually.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Scattered Automation Metrics
THE PROBLEM
Teams spend hours pulling Make.com stats manually to understand scenario performance and operation usage patterns.
HOW MCP SOLVES IT
Improvado MCP extracts Make.com data and makes it instantly queryable via AI — no manual exports needed.
Show execution stats for all scenarios this month
Try asking
"Show ROAS across all 120 accounts"
⚡
Answer in seconds
All data sources, one query
List scenarios with recurring errors in last 14 days
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Slow Error Investigation
THE PROBLEM
Auditing scenario failures, tracing error patterns, and identifying bottlenecks requires navigating multiple screens and manual tracking.
HOW MCP SOLVES IT
AI agents query execution history directly and surface error trends and failure patterns in seconds.
Delayed Response to Workflow Issues
THE PROBLEM
Unusual execution volumes or unexpected scenario failures go unnoticed until they cause downstream issues.
HOW MCP SOLVES IT
Continuous monitoring surfaces anomalies automatically — teams get alerts before issues escalate.
Flag scenarios with execution drops above 50% today
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
Make.com MCP is an integration that connects Make.com data to AI agents via the Improvado MCP server. It allows teams to query scenario performance, execution history, and error logs using plain-language prompts.
What data does Improvado extract from Make.com?
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Improvado extracts scenario execution history, operation volumes, error logs, connection usage, and workflow metadata from Make.com, making all of it queryable through connected AI agents.
Do I need to write code to use Make.com MCP?
+
No. Once Improvado MCP is configured, you interact with your Make.com data through plain-language prompts in your AI agent — no SQL or scripting required.
Can I monitor Make.com scenarios automatically?
+
Yes. You can set up AI-driven monitoring that tracks execution trends, error rates, and operation volumes — surfacing anomalies without manual review.
How is this different from the Make.com dashboard?
+
The Make.com dashboard is manual and siloed. Improvado MCP makes the same data available to AI agents that can query, correlate, and act on it alongside data from other tools.
Which AI agents work with Make.com MCP?
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Improvado MCP works with any MCP-compatible AI agent, including Claude, custom LLM pipelines, and enterprise AI platforms that support the Model Context Protocol.
What is Make.com MCP?
Make.com MCP is an integration that connects Make.com data to AI agents via the Improvado MCP server. It allows teams to query scenario performance, execution history, and error logs using plain-language prompts.
What data does Improvado extract from Make.com?
Improvado extracts scenario execution history, operation volumes, error logs, connection usage, and workflow metadata from Make.com, making all of it queryable through connected AI agents.
Do I need to write code to use Make.com MCP?
No. Once Improvado MCP is configured, you interact with your Make.com data through plain-language prompts in your AI agent — no SQL or scripting required.
Can I monitor Make.com scenarios automatically?
Yes. You can set up AI-driven monitoring that tracks execution trends, error rates, and operation volumes — surfacing anomalies without manual review.
How is this different from the Make.com dashboard?
The Make.com dashboard is manual and siloed. Improvado MCP makes the same data available to AI agents that can query, correlate, and act on it alongside data from other tools.
Which AI agents work with Make.com MCP?
Improvado MCP works with any MCP-compatible AI agent, including Claude, custom LLM pipelines, and enterprise AI platforms that support the Model Context Protocol.
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
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