Creativity · MCP — server
MCP Sentry Server
The MCP Sentry Server brings Sentry's error-tracking platform into the Model Context Protocol. An MCP client like Claude Desktop or Cursor can list unresolved issues, fetch a stack trace with source context, follow the release and commit it regressed on, and open a PR — closing the loop between production errors and code changes.
MCP facts
- Kind
- server
- Ecosystem
- anthropic-mcp
- Language
- TypeScript / Node.js
- Transports
- stdio, http
Capabilities
- Tools: list_issues, get_issue_details, get_event (with full stack trace)
- Tools: assign_issue, resolve_issue, list_releases, get_release_deploys
- Resources: sentry://issue/<id> — full issue with breadcrumbs and tags
- Auth: OAuth via hosted server, or auth token for stdio/local use
Install
npx -y @sentry/mcp-server Configuration
{
"mcpServers": {
"sentry": {
"command": "npx",
"args": ["-y", "@sentry/mcp-server"],
"env": {
"SENTRY_AUTH_TOKEN": "sntryu_xxx",
"SENTRY_ORG": "your-org"
}
}
}
} Frequently asked questions
Should I use the hosted Sentry MCP or the local one?
For personal use the stdio server with an auth token is fastest. For teams prefer mcp.sentry.dev: it speaks OAuth, so each engineer's permissions map directly to their Sentry role, and audit logs live inside Sentry.
What can the agent actually do with Sentry data?
A typical workflow: list top unresolved issues for a release, pull the full stack trace for the worst one, cross-reference the failing commit in GitHub MCP, and open a PR with the fix — all in a single Claude conversation.
Is sensitive data in events exposed to the model?
Yes — breadcrumbs and tags may include PII. Configure Sentry's data-scrubbing rules before connecting an LLM, and restrict the token's project scope to what the agent actually needs.
Sources
- Sentry MCP server (official) — accessed 2026-04-20
- Sentry auth tokens — accessed 2026-04-20