Sentry MCP Servers

Sentry

Acts as a middleware MCP server to interact with the upstream Sentry API provider via LLMs.

Sentry

Enables AI assistants to interact with the Sentry API for error data retrieval, project management, and application performance monitoring.

Sentry

Retrieves and analyzes issues from Sentry.io to provide debugging information.

Sentry Stdio

Enables AI assistants to interact with the Sentry API for error data retrieval, project management, and performance monitoring.

Sentry

Integrates Sentry's API into the Model Context Protocol (MCP) to provide issue and trace details for contextual development workflows.

Sentry Issues

Retrieves Sentry issue details or lists of issues for analysis and debugging.

Mcp Sentry Custom

Retrieves and analyzes issues from Sentry.io or self-hosted Sentry instances using the Model Context Protocol.

Sentry

Enables AI agents to access and analyze Sentry error data through a Modern Context Protocol (MCP) server.

Sentry

Enables interaction with the Sentry API to retrieve issue and event details.

Sentry Integration

Enables AI models to query and analyze error reports and events from Sentry.

Sentry

Enables AI assistants to interact with the Sentry API for error data analysis, project management, and application performance monitoring.

Sentry Integration

Retrieves and analyzes Sentry issues, providing detailed information about errors in applications.

Sentry

Integrates with the Sentry API to track errors, monitor performance, manage releases, and debug application issues.

Sentry Analyzer

Integrates Sentry error monitoring with AI analysis to provide intelligent repair suggestions for frontend JavaScript errors.

Sentry Cursor

Integrates Sentry with Cursor IDE for real-time error and performance monitoring.

Go Sentry Issue Collector

Collects a list of issues from Sentry within an MCP server environment.

Servers

Provides a modular ecosystem of servers designed for AI-driven extensibility and open-source collaboration.