Integrate Sentry with Claude, Cursor, Chatbots & AI Agents MCP Server

Grant your AI agent full access to Sentry's Application Performance Monitoring tools to track raw exceptions, resolve error logs, and inspect crash stack traces dynamically.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

delete

Delete issue on Sentry

This action is irreversible. Permanently deletes an issue

get

Get event details on Sentry

Retrieves details for a specific event

get

Get issue details on Sentry

Retrieves details for a specific issue

list

List events on Sentry

Lists recent events for a project

list

List issues on Sentry

Lists all issues (errors) in a project

list

List organization teams on Sentry

Lists all teams in an organization

list

List organization users on Sentry

Lists all users in an organization

list

List organizations on Sentry

Lists all Sentry organizations

list

List projects on Sentry

Lists all projects in an organization

resolve

Resolve issue on Sentry

This is a reversible side-effect. Resolves an issue in Sentry

Security & Code Integrity Audit

Every tool in the Sentry MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

What is the difference between inspecting an 'Issue' and an 'Event'?

An 'Issue' gathers underlying multiple occurrences of the identical stack exception into one overarching master group. In contrast, querying an 'Event' (get_event_details) focuses the AI on a strictly singular, point-in-time incidence where the system crashed.

Sentry Capabilities for AI Assistants

Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Sentry MCP server to manage operations across the following domains.

Streamlining error tracking

The Sentry toolkit provides AI native integration for error tracking. It structures data so Claude Code can accurately process loved by devs requirements.

AI-Driven performance monitoring Workflows

The Sentry MCP manages API routing for performance monitoring. This enables AI agents like Claude Code to execute structured loved by devs queries.

Sentry. Runs on everything.

From IDE to framework. Every connection governed by Vinkius.

Claude DesktopIDE

Anthropic's native desktop app for Claude with built-in MCP support.

CursorIDE

AI-first code editor with integrated LLM-powered coding assistance.

VS Code CopilotIDE

GitHub Copilot in VS Code with Agent mode and MCP support.

WindsurfIDE

Purpose-built IDE for agentic AI coding workflows.

ClineIDE

Autonomous AI coding agent that runs inside VS Code.

Claude CodeCLI

Anthropic's agentic CLI for terminal-first development.

OpenAI Agents SDKSDK

Python SDK for building production-grade OpenAI agent workflows.

Google ADKSDK

Google's framework for building production AI agents.

Pydantic AISDK

Type-safe agent development for Python with first-class MCP support.

Vercel AI SDKSDK

TypeScript toolkit for building AI-powered web applications.

Mastra AISDK

TypeScript-native agent framework for modern web stacks.

CrewAIFramework

Python framework for orchestrating collaborative AI agent crews.

LangChainFramework

Leading Python framework for composable LLM applications.

LlamaIndexFramework

Data-aware AI agent framework for structured and unstructured sources.

AutoGenFramework

Microsoft's framework for multi-agent collaborative conversations.

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