make-com · MCP Server

Make.com + Improvado MCP — 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

Read

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.

Example prompts

"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

Works with Claude ChatGPT Cursor +5

Write

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.

Example prompts

"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

Every action logged · Fully reversible · SOC 2 certified

Monitor

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.

Example prompts

"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

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

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.

Try asking

Show execution stats for all scenarios this month

Answer in seconds

All data sources, one query

Challenge 2

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.

Try asking

List scenarios with recurring errors in last 14 days

Full detail preserved

No data loss on export

Challenge 3

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.

Try asking

Flag scenarios with execution drops above 50% today

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 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