How do I connect this MCP to my workflow?

You activate the MCP in your client settings and provide your Sentry Organization Slug and a valid Auth Token.

Can the AI actually fix my bugs?

The AI cannot rewrite your code, but it can pull the exact stack traces and line numbers needed to make fixing the bug much faster.

Is it safe to let my agent resolve issues?

Yes, you can explicitly instruct the agent to use the resolve_issue capability to mark bugs as handled.

Which clients can use this Sentry MCP?

It works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

Can I delete issues through the AI?

Yes, the MCP includes a delete_issue capability, but be careful as this action is irreversible.

Can this AI integration actually mark errors as fixed?

Yes. This agent component possesses mutable write access. If you invoke the prompt properly, it will fire the resolve_issue capability, marking the corresponding exception ID completely dealt with inside the Sentry ecosystem. It can also erase bugs fully via delete_issue.

What is the difference between inspecting an 'Issue' and an 'Event'?

An 'Issue' gathers underlying multiple occurrences of the identical stack exception into one overarching master group. In contrast, querying an 'Event' (get_event_details) focuses the AI on a strictly singular, point-in-time incidence where the system crashed.

Do I need to supply the Organization Slug with every command?

You configure the overarching Organization Slug strictly at startup globally. For project-level filters, let your LLM query list_projects first to fetch internal slugs naturally into its memory buffer without constant repeated user inputs.

An astronaut overseeing a futuristic data hub

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Connect Sentry to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Fix production bugs without leaving your code editor.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Sentry Application Monitoring.

01
List organization users
Retrieves a list of all users within a specific Sentry organization.
02
Delete issue
Permanently removes an issue from Sentry. This action cannot be undone.
03
Get event details
Fetches the specific technical data and metadata for a single event.
04
List events
Returns a list of recent events recorded for a designated project.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Sentry Application Monitoring.

05
Resolve issue
Marks an issue as resolved in Sentry to clear it from your active queue.
06
List organization teams
Provides a list of all teams configured in the Sentry organization.
07
List projects
Shows all software projects currently managed within the organization.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Sentry Application Monitoring.

08
List organizations
Lists all Sentry organizations that your credentials can access.
09
Get issue details
Retrieves the full context and stack trace for a specific issue.
10
List issues
Fetches a list of all current errors and issues in a project.

Real work

What teams actually run

Rapid Root Cause Analysis

When a production service shatters, the agent pulls the exact variable state that caused the crash.

Deployment Verification

After a push, you ask the agent to check for any new issues appearing in specific projects.

Issue Cleanup

You tell the agent to close out bugs once you have verified the fix in your code.

Organization Auditing

The agent lists users and teams to help you understand the structure of your Sentry environment.

Automate a task

Put Sentry Application Monitoring to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Sentry Application Monitoring works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Sentry Application Monitoring to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

970ms average. Fast in production.

Sentry Application Monitoring is checked daily against the live service.

Daily averagePeak 1240ms

Oct 3Today

Fastest day: 760ms
Slowest day: 1240ms
14-day trend: Improving-20%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Sentry Application Monitoring, so you can see the experience inside your AI.

It does not authenticate your account with Sentry Application Monitoring. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Sentry Application Monitoring Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_44oqnI7Ime1XiKScWG9YlmefdW04ekDjWjnlXHRM/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Sentry Application Monitoring capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "sentry-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_44oqnI7Ime1XiKScWG9YlmefdW04ekDjWjnlXHRM/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Sentry Application Monitoring in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Sentry Application Monitoring owners hand off.

This MCP is built for technical teams who need to bridge the gap between error reporting and code execution.

01
Software Engineers
They hand off the task of pulling specific event strings and variable states to the agent while they stay in the IDE.
02
DevOps Engineers
They use the agent to quickly check if recent deployments caused spikes in latency or error rates.
03
Technical Founders
They ask the agent for high-level summaries of priority bugs before meetings.

FAQ

Questions Sentry Application Monitoring owners ask.

01
How do I connect this MCP to my workflow?
You activate the MCP in your client settings and provide your Sentry Organization Slug and a valid Auth Token.
02
Can the AI actually fix my bugs?
The AI cannot rewrite your code, but it can pull the exact stack traces and line numbers needed to make fixing the bug much faster.
03
Is it safe to let my agent resolve issues?
Yes, you can explicitly instruct the agent to use the resolve_issue capability to mark bugs as handled.
04
Which clients can use this Sentry MCP?
It works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
05
Can I delete issues through the AI?
Yes, the MCP includes a delete_issue capability, but be careful as this action is irreversible.
06
Can this AI integration actually mark errors as fixed?
Yes. This agent component possesses mutable write access. If you invoke the prompt properly, it will fire the resolve_issue capability, marking the corresponding exception ID completely dealt with inside the Sentry ecosystem. It can also erase bugs fully via delete_issue.
07
What is the difference between inspecting an 'Issue' and an 'Event'?
An 'Issue' gathers underlying multiple occurrences of the identical stack exception into one overarching master group. In contrast, querying an 'Event' (get_event_details) focuses the AI on a strictly singular, point-in-time incidence where the system crashed.
08
Do I need to supply the Organization Slug with every command?
You configure the overarching Organization Slug strictly at startup globally. For project-level filters, let your LLM query list_projects first to fetch internal slugs naturally into its memory buffer without constant repeated user inputs.

Explore

More in Loved By Devs

Connect Sentry Application Monitoring to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

List organization users

Delete issue

Get event details

List events

05-07

Resolve issue

List organization teams

List projects

08-10

List organizations

Get issue details

List issues

What teams actually run

Rapid Root Cause Analysis

Deployment Verification

Issue Cleanup

Organization Auditing

Building your own app? The connector is yours to use.

Sentry Application Monitoring Connector

Claude Desktop

Software Engineers

DevOps Engineers

Technical Founders

How do I connect this MCP to my workflow?

Can the AI actually fix my bugs?

Is it safe to let my agent resolve issues?

Which clients can use this Sentry MCP?

Can I delete issues through the AI?

Can this AI integration actually mark errors as fixed?

What is the difference between inspecting an 'Issue' and an 'Event'?

Do I need to supply the Organization Slug with every command?

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