What is MCP Sentry Server?
The official Sentry MCP Server, maintained by Sentry, connects AI clients to a Sentry organization through the Sentry API. It can list projects, query issues with full stack traces, retrieve event details, and look up release health metrics.
Read the full overview
Requires a Sentry auth token with appropriate read permissions. Useful for debugging sessions where the AI needs to inspect a real error and its full context before suggesting a fix, without the developer having to copy-paste the stack trace.
Query Sentry issues and stack traces from Claude
Key capabilities
Issue queries
List unresolved issues across projects, search by query string, retrieve full event details including stack frames, breadcrumbs, request context, and user information. Filter by environment, release, and time range.
Release health
Query crash-free session rates and error rates per release. Useful for regression detection workflows where Claude needs to compare error volume before and after a deployment.
Where MCP Sentry Server fits
Compatible with Claude Desktop, Cursor, Cline, and any MCP-compatible client. Install via npm (npx) or pip (uvx) depending on the server implementation language.
Positioning and limitations
A key server for backend and full-stack developers who use Sentry for error monitoring. Lets Claude see the actual exception, not just a description of it, which significantly improves the quality of root-cause suggestions during debugging sessions.
MCP servers extend AI clients beyond their training data by giving them access to live systems: local files, databases, APIs, and services. Each server adds a set of typed tools the AI can call, inspect results from, and chain into multi-step workflows, all within a single conversation context.
“Query Sentry issues and stack traces from Claude”
Technical details
- Access
- See vendor
- Source model
- Open source
- License
- Verify license
- Founded
- Not specified
- Pricing model
- Free
- API
- Not specified
- Website
- github.com ↗
- GitHub
- Source repository ↗
What to verify
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms.
- Validate deployment, data location and access control.
- Test integrations, exports and recovery workflows.
Install
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