Raygun
This Raygun MCP server, developed by MindscapeHQ, provides a standardized interface for AI assistants to interact with Raygun's crash reporting and real user monitoring services. It integrates with Raygun's V3 API to enable operations like listing applications, managing error groups, handling deployments, and accessing performance metrics. Built in TypeScript, the implementation handles API authentication and exposes Raygun's functionality through an MCP interface. By bridging AI models and application monitoring data, this server allows AI systems to analyze crash reports, track user sessions, and monitor application performance. It is particularly useful for AI assistants needing to provide insights on software stability, user experience issues, or deployment impacts in applications monitored by Raygun.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/mindscapehq/mcp-server-raygun
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Raygun 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.