Databox
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Sentry

Sentry MCP Connector for Databox

Connect Sentry to your AI Analyst through MCP. It reads the errors and release history behind your metrics, explaining a spike in error rate with the real stack trace. Sentry is a live Databox connector.

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TL;DR

Get more context from your Sentry data

  • One-click, pre-built connector. Sentry is a live Databox connector, so you connect your organization in one click, no code needed.
  • More than the numbers: your AI Analyst reads the actual errors and release history behind your metrics.
  • Sharper answers: it can explain a spike in error rate with the real stack trace and release 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 Sentry

Under Available connectors, select Connect next to Sentry.

Step 3

Authenticate with Sentry

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

Step 4

Ask anything

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

More about it

The story

Error rate spike, matched to the release

Your AI Analyst ties the spike on your uptime databoard to the exact stack trace and release in Sentry, not just the count.

Crash status, checked against the trend

Your AI Analyst confirms whether a customer-reported crash has been triaged in Sentry, right where the error trend lives on your databoard.

Postmortem prep, backed by the databoard

Your AI Analyst summarizes which errors are new since the last release and lines them up against the spike on your error-rate databoard.


Example prompts


Specs

AuthOAuth (or a direct access token)
MCP serverhttps://mcp.sentry.dev/mcp
Dev docsmcp.sentry.dev

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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Airtable

Productivity

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Asana

Project Management

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

FAQ

Frequently asked questions

Is there an official Sentry MCP server?

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

Does connecting Sentry cost extra?

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

What can my AI Analyst see in Sentry?

It can search and inspect issues and errors, including stack traces and event context, review performance data, and manage basic project settings, scoped to what you allow.

Is my Sentry data secure?

Sentry's MCP server uses OAuth, so your AI Analyst only sees what your Sentry 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.