Sentry Application Monitoring Connector for AI agents.
10 live capabilities
Investigate production errors and stack traces in real time.
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Why people use Sentry Application Monitoring
Sentry Error Tracking for Faster Debugging
This Connector lets you stay where you're already working. Just ask your agent to find the latest errors and it'll pull the specific stack trace and metadata right into your conversation. You get the answers you need without the tab-switching fatigue.
What Vinkius changes
You get instant access to Sentry's error data without leaving your IDE.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Production Crash Triage
A deployment causes a spike in errors.
- Real-world use case 02
Database Deadlock Investigation
A specific error ID is flagged.
- Real-world use case 03
Workspace Security Audit
A founder wants to know who has access to the production environment.
Complete set · 10capabilities
The complete Sentry Application Monitoring capability set.
These are the exact actions your AI can choose when you ask it to work with Sentry Application Monitoring.
01—04
4 capabilities in this set.
Part of 10 available through Sentry Application Monitoring.
- 01 Capability
Delete issue
The delete_issue capability permanently removes an issue from your project. Use it only for cleanup because this action is irreversible.
- 02 Capability
List events
The list_events capability lists recent events for a specific project. It helps you see the chronological flow of what's happening in your app.
- 03 Capability
List organization users
The list_organization_users capability lists all users in an organization. Use this to check who has access to your Sentry environment.
- 04 Capability
Get event details
The get_event_details capability pulls the full details for a single event. It's the best way to see the specific metadata behind a single occurrence.
05—07
3 capabilities in this set.
Part of 10 available through Sentry Application Monitoring.
- 05 Capability
List projects
The list_projects capability gets a list of all projects within an organization. Use this to scope your AI's search to a specific app or service.
- 06 Capability
Resolve issue
The resolve_issue capability marks an issue as resolved in Sentry. This helps keep your dashboard clean and signals that a bug is fixed.
- 07 Capability
List organization teams
The list_organization_teams capability lists all teams associated with an organization. This is useful for auditing permissions or looking up team structures.
08—10
3 capabilities in this set.
Part of 10 available through Sentry Application Monitoring.
- 08 Capability
List organizations
The list_organizations capability shows all the organizations you have access to. This helps you navigate between different workspace environments.
- 09 Capability
Get issue details
The get_issue_details capability pulls the full details and stack trace for a specific issue. This is the primary way to let your agent analyze a crash.
- 10 Capability
List issues
The list_issues capability lists all errors and issues in a project. Use this to find what's currently breaking in your production environment.
Set up in minutes
One URL. Then ask Sentry Application Monitoring to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Sentry Application Monitoring from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_44oqnI7Ime1XiKScWG9YlmefdW04ekDjWjnlXHRM/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Sentry Application Monitoring, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Sentry Application Monitoring for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_44oqnI7Ime1XiKScWG9YlmefdW04ekDjWjnlXHRM/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Sentry Application Monitoring URL.
- Step 03
Save and start
Save the connection and enable Sentry Application Monitoring in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"sentry": {
"url": "https://edge.vinkius.com/vk_preview_44oqnI7Ime1XiKScWG9YlmefdW04ekDjWjnlXHRM/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Sentry Application Monitoring
Open Agent mode in chat and ask: "Using Sentry Application Monitoring, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"sentry": {
"url": "https://edge.vinkius.com/vk_preview_44oqnI7Ime1XiKScWG9YlmefdW04ekDjWjnlXHRM/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Sentry Application Monitoring
Ask Copilot: "Using Sentry Application Monitoring, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"sentry": {
"url": "https://edge.vinkius.com/vk_preview_44oqnI7Ime1XiKScWG9YlmefdW04ekDjWjnlXHRM/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Sentry Application Monitoring
Open Cascade and ask: "Using Sentry Application Monitoring, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"sentry": {
"url": "https://edge.vinkius.com/vk_preview_44oqnI7Ime1XiKScWG9YlmefdW04ekDjWjnlXHRM/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Sentry Application Monitoring
Ask Cline: "Using Sentry Application Monitoring, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add sentry --transport http "https://edge.vinkius.com/vk_preview_44oqnI7Ime1XiKScWG9YlmefdW04ekDjWjnlXHRM/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Sentry Application Monitoring
Ask Claude: "Using Sentry Application Monitoring, show me...". 10 tools are ready
Where the request belongs
Work Sentry Application Monitoring can move forward.
The Sentry MCP is built for the engineers who live in the terminal and the ops teams who need to stop clicking through nested dashboards to find a single failing line of code.
On-call Engineer
They use this on Tuesday nights to quickly identify which production service is throwing the most errors and why.
Frontend Developer
They use this to pull specific crash traces into their chat window to see exactly what state caused a UI component to fail.
Technical Founder
They use this to ask for a high-level summary of critical bugs across all projects before a daily standup.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsSentry
Monitor errors and application health via Sentry. query issues, inspect events, audit releases and check alert rules directly from any AI agent.
BugSnag
Monitor application errors via BugSnag. track stability, inspect error groups, and retrieve event details directly from any AI agent.
Rollbar
Connect your AI assistant to Rollbar to identify active bugs, review stack traces, trace code deployments, and manage error lifecycles without leaving the chat.
Better Stack
Automate incident management via Better Stack. monitor uptime, manage incidents, and control on-call schedules securely from your AI agent.
Dynatrace (APM and Observability)
Monitor and manage your Dynatrace environment. query metrics, track problems, manage entities, and automate observability workflows directly from your AI agent.
Incident.io
Manage incidents, roles, and on-call schedules via Incident.io API.
Bring your own AI
Change the model, client or framework. Keep Sentry Application Monitoring connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Sentry Application Monitoring.
The practical details behind the request, access and result.
How does the Sentry MCP help me debug faster?
It allows your AI agent to pull real-time error logs and stack traces directly into your chat. You can ask questions about specific crashes and get immediate answers without leaving your workspace.
Can I use the Sentry MCP to manage my issues?
Yes. You can tell your AI agent to mark issues as resolved or find specific ones in your project. It handles the manual clicking for you.
Does the Sentry MCP work with my current IDE?
Yes. Since it's an Connector, it works with any compatible client like Cursor, Windsurf, or VS Code, giving you Sentry data right where you write code.
Is my Sentry data secure with this Connector?
The Connector uses your own scoped Auth Token and Organization Slug. You control exactly what parts of your Sentry environment the AI can see.
Can the AI agent see my whole Sentry account?
It depends on the permissions of the Auth Token you provide. You can scope it to specific projects or organizations to keep it limited.
What happens when I ask about a crash?
The agent will search your project for recent errors, find the most relevant ones, and summarize the technical details and stack traces for you.
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.
One connection away
Give your agent a direct line to Sentry Application Monitoring.
Connect Sentry Application Monitoring once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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