Sentry
Sentry MCP Server
Official Sentry MCP server that connects AI coding agents to Sentry issues, errors, projects, and Seer analysis for debugging and monitoring workflows.
Last reviewed Feb 28, 2026
What it does
The Sentry MCP Server connects AI coding agents to your Sentry organization. Agents can fetch issues, error details, project configuration, and Seer analysis directly from the IDE. Sentry hosts the server remotely with OAuth, so no local installation is required. During setup you can choose which tool groups to enable to keep the context window focused.
Available tools
| Tool | What it does |
|---|---|
get_issue |
Get full details for a Sentry issue |
list_issues |
List and filter issues by project, status, or query |
get_project |
Get project configuration and metadata |
list_projects |
List projects in the organization |
get_seer_analysis |
Retrieve Seer AI analysis for an issue |
search_events |
Search event data and stack traces |
Tool availability depends on which groups you enable during setup. Self-hosted installations may expose different tools via stdio.
Setup by tool
Cursor
Add via one-click installation or manually. For the hosted server:
{
"mcpServers": {
"sentry": {
"url": "https://mcp.sentry.dev/mcp"
}
}
}
Or use the add-mcp command:
npx add-mcp https://mcp.sentry.dev/mcp
On first connection, you will be prompted to authenticate via OAuth in the browser.
Claude Code
Add the same configuration to your Claude MCP config. The OAuth flow will open in a browser when you first use the server.
VS Code / GitHub Copilot
Add the url to your MCP client configuration. Authentication is handled through the standard OAuth flow.
Self-hosted Sentry
For self-hosted Sentry, use the stdio transport with @sentry/mcp-server and a User Auth Token. See Sentry docs for the exact command and env vars.
When to use this
- Debugging: Pull error details, stack traces, and repro steps into coding sessions
- Issue triage: List and filter issues while implementing fixes
- Seer context: Use Seer analysis to understand root cause and suggested fixes
- Post-deploy verification: Check that new deployments did not introduce new issues
Security considerations
- OAuth scopes control what the server can access; review during setup
- Choose only the tool groups you need to limit exposure
- For self-hosted stdio, use a User Auth Token with minimal scopes
- Sentry data may contain PII; ensure your AI tool's data handling meets your policy
- Manually approve tool calls before execution when your client supports it
Compatibility
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