Sentry向けに構築された12個のMCPを発見。
Retrieves and analyzes issues from Sentry.io to provide debugging information.
Enables AI assistants to interact with the Sentry API for error data retrieval, project management, and application performance monitoring.
Enables AI assistants to interact with the Sentry API for error data retrieval, project management, and performance monitoring.
Enables AI agents to access and analyze Sentry error data through a Modern Context Protocol (MCP) server.
Enables AI assistants to interact with the Sentry API for error data analysis, project management, and application performance monitoring.
Retrieves and analyzes Sentry issues, providing detailed information about errors in applications.
Enables AI models to query and analyze error reports and events from Sentry.
Collects a list of issues from Sentry within an MCP server environment.
Enables interaction with the Sentry API to retrieve issue and event details.
Provides a modular ecosystem of servers designed for AI-driven extensibility and open-source collaboration.
Integrates with the Sentry API to track errors, monitor performance, manage releases, and debug application issues.
Integrates Sentry with Cursor IDE for real-time error and performance monitoring.
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