"sentry" matching MCP servers:

A Model Context Protocol server that enables retrieving and analyzing Sentry issues, including stacktraces and debugging information.

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.

Automatically reads Sentry issues, investigates them by analyzing your Ruby codebase, explains why issues happened, and provides fix suggestions.

Enables searching and analyzing Sentry issues, events, and traces via natural language, providing tools for error investigation and distributed tracing.

Connect AI assistants to Sentry for error tracking, issues, releases, events, and project management through the Model Context Protocol. Provides tools to list organizations, projects, issues, events, releases, teams, and members, as well as get details and update issue status.

Fast and minimal Sentry MCP server written in Rust

MCP server for self-hosted Sentry instances, providing tools to query and triage issues and events, inspect stack frames, manage releases, and access raw Sentry API.

Bridges OpenAI Codex with Sentry to automatically fetch, analyze, and fix errors using AI.

MCP server for integrating self-hosted Sentry with AI assistants, enabling project and issue listing, issue details with stack traces, and event retrieval.

One MCP server holding a live session with every client's account at once, so one agent can read across a dozen businesses and write inside only the one you name. It forwards each provider's own MCP tools (Cloudflare, Vercel, Resend, Supabase, Linear, Notion, Sentry, Netlify and more) with that client's credentials, and adds deterministic DNS and email checks that never call a model.

MCP server for detecting publisher telemetry pipeline leaks in binary artifacts by scanning for sensitive strings like Sentry DSNs, Slack tokens, and AWS keys.

A modular MCP server for analyzing PCAP files using protocol-specific analysis tools, enabling LLMs to read and analyze network packet captures from local paths or remote URLs.

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

Provides a governed command plane for MCP agents to manage PostgreSQL databases, SSH sessions, and HTTP APIs with encrypted credential storage and prescriptive workflows.

Connects AI agents to live observability stacks including Sentry, GitHub, Vercel, Better Stack, and Cloudflare, enabling end-to-end incident investigation, deployment correlation, root cause analysis, and regression triage.

Enables AI agents to read realistic, coherent data—repos, pull requests, issues, commits, users—through API-compatible, read-only replicas of 21 developer platforms including GitHub, Jira, Linear, Slack, Sentry and Salesforce, all preloaded with one simulated company so integrations can be built and tested with no accounts, credentials, rate-limit worry, or cleanup.

MCP server for monitoring, diagnosing, and auto-correcting observability issues across platform services, integrating with Sentry and PostgreSQL for error tracking and billing pipeline health.

MCP server that exposes the AHDB RB209 Nutrient Management Guide Web API v2 as tools, enabling nutrient planning and access to all 97 endpoints.