Sentry
Sentry-MCP-Server provides a bridge between AI assistants and Sentry error tracking platform, enabling retrieval and analysis of application errors through a standardized interface. The server exposes tools for fetching detailed issue information including stacktraces, error types, and occurrence statistics from Sentry projects. Built with TypeScript and the MCP framework, it authenticates with Sentry via API tokens, handles URL parsing for convenient issue referencing, and formats error data in a structured way. This implementation is particularly valuable for developers who need to investigate application crashes, monitor error trends, or troubleshoot production issues directly through conversational AI without context switching.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/faurealexis/sentry-mcp-server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Sentry from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.