Databox
Pricing

Linear

Linear MCP Connector for Databox

Connect Linear to your AI Analyst through MCP. It reads the issues and cycle history behind your metrics, explaining a change in throughput with the real issue. Linear is a live Databox connector, set up in one click.

A Weekly Retention Rate card at 41.2%, up 4.8% vs last month, and under it why it happened: Retention grew after Sept 10 - issue ENG-214 shipped the new onboarding checklist.

TL;DR

Get more context from your Linear data

  • One-click, pre-built connector. Linear is a live Databox connector, so you connect your workspace in one click, no code needed.
  • More than the numbers: your AI Analyst reads the actual issues and cycle history behind your metrics.
  • Sharper answers: it can explain a change in throughput or scope with the real issue behind it, not just the count.

How to use it

Step 1

Open connector settings

Go to your AI Analyst settings → Connectors.

Step 2

Find Linear

Under Available connectors, select Connect next to Linear.

Step 3

Authenticate with Linear

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

Step 4

Ask anything

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

More about it

The story

Cycle scope creep, tied to the throughput chart

Your AI Analyst matches slipping throughput on your databoard to the issues added mid-cycle in Linear, and who added them.

What shipped, checked against the databoard

Your AI Analyst summarizes what shipped in the last Linear cycle and checks it against the release markers on your product databoard.

Bug ownership, confirmed against the backlog trend

Your AI Analyst confirms whether a customer-reported bug has an owner in Linear, right where you're tracking backlog age on your databoard.


Example prompts


Specs

AuthOAuth 2.1 (or a Linear API key)
MCP serverhttps://mcp.linear.app/mcp
Dev docslinear.app/docs/mcp

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

Related

More like this

Asana

Project Management

Bring the task and comment history behind your project metrics into your AI Analyst, straight from Asana.

ClickUp

Project Management

See the task and comment history behind your team's progress.

Jira

Project Management

See the ticket and sprint history behind your engineering metrics.

FAQ

Frequently asked questions

Is there an official Linear MCP server?

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

Does connecting Linear cost extra?

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

Can my AI Analyst create or update issues?

Yes, if you allow it. It can create and update issues, manage projects and milestones, and add comments, scoped to what you allow.

Is my Linear data secure?

Linear's MCP server uses OAuth, so your AI Analyst only sees what your Linear account already has access to, and you can revoke access 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.