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URL: https://glama.ai/mcp/servers/integrations/sentry

⇱ Sentry | Glama

  • Why this server?

    Integrates with Sentry to surface unresolved application errors, provide detailed stack traces, and track the health of software releases.

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    Auto-discovers MCP servers for your project and tracks ROI per session. One install: npx -y @perceptdot/core. Your agent finds its own tools and reports tokens saved.
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  • Why this server?

    Integrates with Sentry for error monitoring and diagnostics to track issues, crashes, and unexpected errors, with options to disable this functionality.

  • Why this server?

    Enables retrieval and analysis of error tracking data from Sentry, providing tools to fetch individual issues by URL or ID and retrieve lists of issues from projects to help identify, analyze, and troubleshoot application errors.

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    A server that enables retrieval of Sentry issues through two simple tools - get a specific issue by URL/ID or get a list of issues from a project.
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  • Why this server?

    Provides tools for Sentry error tracking, enabling access to issues, events, and stack traces with self-hosted support.

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    A curated collection of Model Context Protocol (MCP) servers for popular SaaS platforms — Stripe, Sentry, Notion, Linear, Datadog, Vercel, PagerDuty, HubSpot, Intercom, Shopify, Google Workspace
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  • Why this server?

    Provides optional error reporting and telemetry to Sentry for monitoring tool-call exceptions and usage.

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    MCP server for Recruit CRM, enabling AI assistants to search candidates, view jobs, and manage recruiting workflows.
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    MIT

  • Why this server?

    Allows change events to be linked as observability metadata in Sentry stack traces for richer debugging context.

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    Change tracking for AI-era codebases. AI agents call it to log structured change events (entity + diff + reasoning) before the session ends, then query history with diff, blame, history, changeset, and search. Captures the intent that would otherwise evaporate.
    Last updated
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  • Why this server?

    Includes built-in error monitoring and diagnostics through Sentry, with options to opt out of data collection.

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    sl-test
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  • Why this server?

    Allows error tracking and performance monitoring via Sentry, with configurable DSN and options.

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    LibreNMS MCP Server is a Python-based Model Context Protocol (MCP) server designed to provide advanced, programmable access to LibreNMS network monitoring data and management features, enabling querying devices, ports, alerts, inventory, and more.
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  • Why this server?

    Retrieves error events, stack traces, and issue contexts from Sentry for analysis and automated bug fixing.