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Asana

Asana MCP Connector for Databox

Connect Asana to your AI Analyst through MCP. It reads the tasks and comment history behind your metrics, explaining a missed deadline with the real task. Asana's MCP server is gated to approved clients today.

A New Leads card at 1,078, up 8.9% vs last month, and under it why it happened: Leads rose after the Sept 15 ebook launch - the task shows it shipped a week early.

TL;DR

Get more context from your Asana data

  • Same MCP server, wired into Databox. The Asana connector links Asana's own MCP server to your AI Analyst, added as a Custom connector since access is still gated to approved clients.
  • More than the numbers: your AI Analyst reads the actual tasks and comment history behind your metrics.
  • Sharper answers: it can explain a change in output or a missed deadline with the real task behind it, not just the count.

How to use it

Step 1

Open connector settings

Go to your AI Analyst settings → Connectors.

Step 2

Add a custom connector

Select Add custom connector, name it Asana and paste the URL of Asana's official MCP server.

Step 3

Authenticate with Asana

Sign in with your Asana account and set tool permissions per tool.

Step 4

Ask anything

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

More about it

The story

A delivery slip, and here's the task

Your AI Analyst matches the slip on your project databoard to the Asana task that sat unassigned for a week before anyone picked it up.

Workload check, next to project health

Your AI Analyst reports how many tasks are overdue for a team in Asana, lined up against the project health score on your databoard.

Launch readiness, without leaving the dashboard

Your AI Analyst reads the comments on a launch task in Asana, right where you're already watching the launch countdown on your databoard.


Example prompts


Specs

AuthOAuth 2.0
MCP serverhttps://mcp.asana.com/v2/mcp
Dev docsdevelopers.asana.com/docs/mcp-server

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 Asana MCP server?

Yes. Asana runs its own remote MCP server, though access is currently limited to a list of approved AI clients.

Does connecting Asana cost extra?

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

Can my AI Analyst create or update tasks?

Yes, if you allow it. It can create tasks, update status, and add comments, scoped to what you allow.

Does Databox have a one-click Asana connector?

Not yet. Today, connect Asana as a Custom connector using its official MCP server. A native, one-click Databox connector is planned.

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.