Sentry MCP Server
Expose application errors, trace logs, and exception dumps to help AI models diagnose and repair application bugs in real-time.
Quick Answer / TL;DR
The Sentry MCP server establishes a secure, local or remote JSON-RPC 2.0 communication tunnel, allowing AI models (like Claude or Cursor) to automatically discover and execute capabilities (tools, prompts, and resources) within the Sentry ecosystem with extremely low latency.
Key Takeaways
- Query top unresolved bugs
- Extract full stack traces
- Link commits to exception origins
Core Integration Concept
Connecting the model to Sentry bypasses complex setup. The LLM can auto-discover what endpoints are active, what input variables are expected, and how answers will be delivered.
Verified Use Cases
Setup Overview
Connection Setup Checklist
- Prepare Credentials: Obtain your Sentry Integration Token credentials directly from your Sentry settings.
- Update Config: Add the executable tool command structure directly to your Claude config file.
- Restart & Confirm: Reload the desktop model client to complete the connection handshake sequence.
Sample Connection Schema
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "execute_sentry",
"arguments": {
"query": "status_check"
}
},
"id": 1
}Security Considerations
To guarantee perfect data isolation, safeguard the Sentry Integration Token credentials. Always run integrations in sandboxed contexts to block unsolicited access.
Best Practices
- Configure exact resource boundaries for the Error aggregation feature.
- Configure exact resource boundaries for the Stack trace analysis feature.
- Configure exact resource boundaries for the User impact reports feature.
- Configure exact resource boundaries for the Assignee updates feature.
Required Auth Keys
Sentry Integration Token
Deploy Sentry Server
Deploy this Sentry integration to our global edge container cluster. Zero DevOps, instant SSE.
Related Connectors
Sentry - FAQ
Contextual information and technical support details regarding Model Context Protocol integration