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monday.com

monday.com MCP Connector for Databox

Connect monday.com to your AI Analyst through MCP. It reads the board items and update history behind your project metrics, explaining a delayed deliverable with the real item. Set up in one click.

A Total Revenue card at $96,240, up 10.4% vs last month, and under it why it happened: Revenue rose after Sept 12 - the board shows the fall launch email flow went live on time.

TL;DR

Get more context from your monday.com data

  • One-click, pre-built connector. monday.com is a live Databox connector, so you connect your account in one click, no code needed.
  • More than the numbers: your AI Analyst reads the actual board items and update history behind your project metrics.
  • Sharper answers: it can explain a delayed deliverable or a change in output with the real item behind it, not just the count.

The basics

An MCP connector is not the same as an integration

monday.com has both. They do different jobs and work well together.

monday.com integration

  • Pulls your monday.com metrics into Databox dashboards and reports - with historical data, custom metrics, and datasets you can build on.

monday.com MCP connector

  • Gives your AI Analyst live access to monday.com’s official MCP server, so it can explain metrics using the board items and update history behind them.

How to use it

Step 1

Open connector settings

Go to your AI Analyst settings → Connectors.

Step 2

Find monday.com

Under Available connectors, select Connect next to monday.com.

Step 3

Authenticate with monday.com

Sign in with your monday.com account and set tool permissions per tool.

Step 4

Ask anything

Ask a question that touches monday.com - it now pulls the record behind the number automatically.

More about it

The story

A deliverable slips, and the board shows why

Your AI Analyst matches a slip on your project databoard to the board item in monday.com that's been stuck in the same column for two weeks.

Client update, backed by the databoard

Your AI Analyst pulls the update history on a client board in monday.com and lines it up against the project health already on your databoard.

Capacity check, without leaving the dashboard

Your AI Analyst counts open items assigned to a team in monday.com, right where the workload trend already lives on your databoard.


Example prompts


Specs

AuthAPI token
MCP serverhttps://mcp.monday.com/mcp
Dev docsdeveloper.monday.com/apps/docs/mondaycom-mcp-integration

The Databox difference

Why connecting MCP through Databox is different

You can connect this same MCP server directly to any AI tool. Here’s what changes when you connect it through Databox instead.

Any AI tool

One AI tool, Claude here, on one MCP server, which reaches Asana, Slack and HubSpot and nothing else.

One tool, limited to MCP data

  • Only sees what this MCP server exposes, nothing more
  • No connection to your CRM, chat, or revenue data
  • Not wired into your business context, so nothing runs automatically

With Databox

Databox joining that same MCP server to its own integrations: Facebook Ads, Google Analytics, Stripe, Salesforce and HubSpot.

Enriched data, the whole story

  • The MCP connector brings in this data, same as anywhere else
  • Plus your other Databox integrations, already connected
  • Your AI Analyst reasons over the whole story, not just this one tool
  • Runs automatically with Routines, reusable in every Skill

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FAQ

Frequently asked questions

Is there an official monday.com MCP server?

Yes. monday.com runs its own remote MCP server, and Databox connects to it as a pre-built connector.

Does connecting monday.com cost extra?

No. MCP connectors are included with your AI Analyst on every plan that includes it.

Can my AI Analyst update items in monday.com?

Yes, if you allow it. It can update column values and add updates to items, scoped to what you allow.

Is my monday.com data secure?

monday.com's MCP server authenticates with your account's API token, so your AI Analyst only sees what that token authorizes, and you can revoke it at any time.

What is an MCP connector?

An MCP connector links your AI Analyst to an external tool through the Model Context Protocol, an open standard for connecting AI assistants to real business systems. Once connected, your AI Analyst can read (and soon act on) the records behind your metrics - deals, tickets, conversations, campaigns - without you switching tabs.

How is an MCP connector different from a Databox integration?

A Databox integration brings your metrics into Databox so you can track, visualize and report on them. An MCP connector gives your AI Analyst access to the records behind those metrics - the deal, the ticket, the ad, the Slack thread - so it can explain why a number moved and act on it in that tool. Many tools, like HubSpot and Facebook Ads, have both, and they work best together: the integration shows what changed, the connector shows why.

Can I connect any tool, or only the ones in the connector library?

Any tool with an MCP server. You can pick an official connector built by Databox, then click connect and sign in. Or you can add a custom connector: paste the server URL, choose how it signs in (OAuth, API key, bearer token or none), name it and connect.

Is my data safe when I connect a custom MCP server?

You decide what each connector can do. Every tool on a connector has its own setting - Always allow, Needs approval or Blocked - and every tool starts on Needs approval. Official connectors are reviewed by Databox. Custom servers are not, and once connected, a server can access your AI Analyst's content and share data outside Databox. Only connect servers you trust. You can change permissions or disconnect at any time.

Do MCP connectors cost extra?

No. MCP connectors are included with your AI Analyst at no extra cost.

What can my AI Analyst do with a connected tool today?

It can read and act. Read tools let it look up deals, tickets, campaigns and messages to explain why a metric moved, answer a question or run a Routine. Write tools let it take action in the tool, like updating a deal stage, sending a Slack message or creating a task. Every action follows the permissions you set, and new tools start on Needs approval.

Give your AI Analyst the full picture

Connect the tools where your business happens, official or custom, and let your AI Analyst explain what changed and why.