Monday.com
 · MCP Server

Monday.com MCP — Project Data Without the Board Browsing

Improvado's Monday.com MCP server connects your workspaces to AI agents. Ask about task status, deadlines, workload distribution, and project progress in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.

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

Read: Project Status Across Every Board at Once

Stop opening board after board. Ask your AI agent what's overdue, who's blocked, and what's at risk — across every workspace and board in one question.

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 Items and Boards Without Switching Tools

Create items, update statuses, assign owners, and set due dates through your AI agent. The MCP server handles Monday.com API operations — you just describe what needs to change.

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

⚠️ Monitor

Monitor: Surface Blockers Before They Stall Delivery

Set up watches on stalled items, deadline risks, and workload imbalances. Your AI agent monitors Monday.com activity and flags problems before they become escalations.

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

Create items, update statuses, assign owners, and set due dates through your AI agent. The MCP server handles Monday.com API operations — you just describe what needs to change.

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

Challenge 1

Cross-Board Reporting Requires Manual Assembly

THE PROBLEM

Managers overseeing multiple Monday.com boards have no single view of delivery health. Weekly status reports mean opening each board individually, copying item counts and statuses, and assembling them in a separate document — a process that eats 30-60 minutes every Monday.

HOW MCP SOLVES IT

Improvado aggregates Monday.com data across all workspaces and boards into one unified model. The MCP server lets your AI agent answer cross-board questions instantly — overdue items by team, blocked counts by project, throughput trends.

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

Monday.com Analytics Doesn't Show Velocity or Cycle Time

THE PROBLEM

Monday.com's built-in dashboards show current state — how many items are in each status — but don't reveal how long items take to move through stages, where they consistently get stuck, or whether delivery speed is improving or declining. Velocity insights require manual log review or third-party tools.

HOW MCP SOLVES IT

Improvado tracks Monday.com item activity with timestamps, capturing every status change and assignment update. Ask the MCP server about average cycle time per stage, bottleneck frequency, and velocity trends — analytics Monday.com's native dashboards don't provide.

Challenge 3

Stakeholder Updates Require Manual Board Navigation

THE PROBLEM

Sending status updates to stakeholders means navigating to each relevant board, pulling out the key numbers, and writing a summary. This happens multiple times per week for active projects — it's purely manual and adds no analytical value, just communication overhead.

HOW MCP SOLVES IT

Improvado makes Monday.com data available to your AI agent in structured form. Ask for a stakeholder summary and your AI agent pulls the relevant board data, formats it for your audience, and delivers it — no board navigation required.

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 Monday.com data can I query through Improvado's MCP server?
+

Items, columns, statuses, assignees, due dates, groups, boards, workspaces, activity history, and item updates. Improvado normalizes this data so your AI agent can answer questions about project health, workload distribution, and delivery velocity without manually reviewing boards.

Can this MCP server create and update items in Monday.com?
+

Yes. The write capabilities allow your AI agent to create items, update column values (status, dates, assignees, text), move items between groups, and add updates. Bulk operations — like updating all overdue items to a new status — can be executed through a single natural language instruction.

Does this work with Monday.com's custom columns and formulas?
+

Improvado ingests Monday.com column data including custom column types — text, numbers, dates, status, dropdown, people, and formula columns where values are accessible via the API. Your AI agent can filter, group, and sort by custom columns the same way it handles default ones.

How does Improvado's Monday.com MCP compare to Monday.com's native AI features?
+

Monday.com's AI assistant is embedded in the Monday interface and focused on task management within a single board. Improvado's MCP server makes your Monday.com data available to AI tools you already use — Claude, Cursor, ChatGPT — and enables cross-board analysis, historical trend queries, and integration with 500+ other data sources in the same conversation.

Can the Monday.com MCP integration query data across multiple boards and workspaces simultaneously?
+

Yes, the Monday.com MCP integration can query items, columns, and subitems across multiple boards and workspaces in a single session, provided the connected account has access to them. You can ask cross-board questions such as comparing task completion rates between two project boards or summarizing overdue items across all boards in a workspace. The integration uses Monday.com's GraphQL API, which allows efficient multi-board queries in a single request.

How does the Monday.com MCP integration handle custom column types like formula or mirror columns?
+

Monday.com's API exposes the values of most column types including text, numbers, status, date, people, and dropdown columns. Formula columns return their computed values at query time, while mirror columns reflect the linked item's value from another board. The MCP integration passes these values through as-is to the AI agent, which can then reason over them in natural language — for example, filtering items where a mirrored status column shows a specific value.

What Monday.com data can I query through Improvado's MCP server?
Items, columns, statuses, assignees, due dates, groups, boards, workspaces, activity history, and item updates. Improvado normalizes this data so your AI agent can answer questions about project health, workload distribution, and delivery velocity without manually reviewing boards.
Can this MCP server create and update items in Monday.com?
Yes. The write capabilities allow your AI agent to create items, update column values (status, dates, assignees, text), move items between groups, and add updates. Bulk operations — like updating all overdue items to a new status — can be executed through a single natural language instruction.
Does this work with Monday.com's custom columns and formulas?
Improvado ingests Monday.com column data including custom column types — text, numbers, dates, status, dropdown, people, and formula columns where values are accessible via the API. Your AI agent can filter, group, and sort by custom columns the same way it handles default ones.
How does Improvado's Monday.com MCP compare to Monday.com's native AI features?
Monday.com's AI assistant is embedded in the Monday interface and focused on task management within a single board. Improvado's MCP server makes your Monday.com data available to AI tools you already use — Claude, Cursor, ChatGPT — and enables cross-board analysis, historical trend queries, and integration with 500+ other data sources in the same conversation.
Can the Monday.com MCP integration query data across multiple boards and workspaces simultaneously?
Yes, the Monday.com MCP integration can query items, columns, and subitems across multiple boards and workspaces in a single session, provided the connected account has access to them. You can ask cross-board questions such as comparing task completion rates between two project boards or summarizing overdue items across all boards in a workspace. The integration uses Monday.com's GraphQL API, which allows efficient multi-board queries in a single request.
How does the Monday.com MCP integration handle custom column types like formula or mirror columns?
Monday.com's API exposes the values of most column types including text, numbers, status, date, people, and dropdown columns. Formula columns return their computed values at query time, while mirror columns reflect the linked item's value from another board. The MCP integration passes these values through as-is to the AI agent, which can then reason over them in natural language — for example, filtering items where a mirrored status column shows a specific value.

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