Sentry MCP Servers
Discover 16 MCPs built for Sentry.
Sentry
Acts as a middleware MCP server to interact with the upstream Sentry API provider via LLMs.
Sentry
Retrieves and analyzes issues from Sentry.io to provide debugging information.
Sentry
Enables AI assistants to interact with the Sentry API for error data retrieval, project management, and application performance monitoring.
Sentry Stdio
Enables AI assistants to interact with the Sentry API for error data retrieval, project management, and performance monitoring.
Sentry Issues
Retrieves Sentry issue details or lists of issues for analysis and debugging.
Sentry
Enables AI agents to access and analyze Sentry error data through a Modern Context Protocol (MCP) server.
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.
Mcp Sentry Custom
Retrieves and analyzes issues from Sentry.io or self-hosted Sentry instances using the Model Context Protocol.
Go Sentry Issue Collector
Collects a list of issues from Sentry within an MCP server environment.
Sentry
Enables interaction with the Sentry API to retrieve issue and event details.
Sentry
Integrates with the Sentry API to track errors, monitor performance, manage releases, and debug application issues.
Sentry Cursor
Integrates Sentry with Cursor IDE for real-time error and performance monitoring.
Sentry Analyzer
Integrates Sentry error monitoring with AI analysis to provide intelligent repair suggestions for frontend JavaScript errors.
Servers
Provides a modular ecosystem of servers designed for AI-driven extensibility and open-source collaboration.
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