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Sentry MCP

Query and analyze Sentry errors with AI

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Maintenance status

Active
Last code update: September 27, 2026Checked September 28, 2026

How to Install Sentry MCP

$npx @sentry/mcp-server

Requires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.

Setup by client

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "sentry-mcp": {
      "command": "npx",
      "args": [
        "@sentry/mcp-server"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "sentry-mcp": {
      "command": "npx",
      "args": [
        "@sentry/mcp-server"
      ]
    }
  }
}

VS Code (.vscode/mcp.json)

{
  "servers": {
    "sentry-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "@sentry/mcp-server"
      ]
    }
  }
}

Claude Code (terminal)

claude mcp add sentry-mcp -- npx @sentry/mcp-server

Add any API keys or environment variables the server's README lists.

About Sentry MCP

Pull error reports, stacks and trends from Sentry into your AI workflow. To correlate errors with logs and metrics, connect Datadog to Claude as well.

Sentry MCP is a Developer Tools MCP server designed for professional engineers and engineering teams. It enables wiring AI assistants into the inner loop of writing and shipping code by exposing Git, package, build, and CLI operations as MCP tools. Key capabilities include git and github operations (status, blame, prs), package and dependency inspection, build and test runner integration, and structured tool calls that work cleanly inside an LLM context. It integrates with Git, GitHub, GitLab, npm, pnpm, Docker, and common build systems, and is best suited for professional engineers and engineering teams who need reviewing diffs and opening prs from chat.

Key Features

  • errors
  • observability
  • monitoring
  • Git and GitHub operations (status, blame, PRs)
  • Package and dependency inspection
  • Build and test runner integration

Pricing

Open Source: from Free

Pros & Cons

Pros

  • Acts more like a pair programmer with real tools
  • Tight scoping (one repo, dry-run) limits blast radius
  • Keeps flow inside the editor

Cons

  • Write operations require explicit guardrails
  • Quality of output depends on repo hygiene
  • Larger monorepos may need extra filtering

Best For

  • Reviewing diffs and opening PRs from chat
  • Triaging CI failures
  • Scaffolding new packages or modules
  • Repo-wide refactors with verification

Our Take on Sentry MCP

Genuinely changes how you triage bugs: AI summarizing top errors is a force multiplier.

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Frequently Asked Questions

Tags

#Developer Tools#errors#observability#monitoring