Assess and monitor Near-Earth Object (NEO) impact risks by analyzing data on object designation, size, date range, probability, and Palermo Scale values via NASA's MCP Server.
Capture and send error or informational messages to Sentry with specified severity levels, tags, and additional context for improved application monitoring and debugging.
Create a new Sentry project to monitor deployments, releases, and application health metrics. Specify project name, slug, platform, and team for effective tracking.
Set up Sentry for a project by generating a DSN and providing platform-specific installation instructions to enable error monitoring and performance tracking.
A Model Context Protocol server that retrieves and analyzes Sentry.io issues, allowing users to inspect error reports, stacktraces, and debugging information from their Sentry account.
A remote Model Context Protocol server acting as middleware to the Sentry API, allowing AI assistants like Claude to access Sentry data and functionality through natural language interfaces.