Sentry is a Monitoring MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent error tracking and performance monitoring. Install in 1 minute with mcpizy install sentry.
Connect your Sentry account once — MCPizy stores the credentials encrypted and uses them whenever you run a recipe in managed mode.
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Read the full audit on CheckMCPmcpizy install sentrynpx -y @sentry/mcp-serverlist_issuesList issues in a project
Inputs
organization_slugstringrequiredproject_slugstringrequiredget_issueGet full details about an issue
Inputs
issue_idstringrequiredlist_projectsList projects in the organisation
search_errorsSearch errors by query
Inputs
querystringrequiredget_eventGet a specific event (stacktrace etc.)
Inputs
event_idstringrequiredWorks identically across clients. Only the config file path differs.
~/.claude.json{
"mcpServers": {
"sentry": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.sentry.dev/mcp"
]
}
}
}.cursor/mcp.json{
"mcpServers": {
"sentry": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.sentry.dev/mcp"
]
}
}
}~/.codeium/windsurf/mcp_config.json{
"mcpServers": {
"sentry": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.sentry.dev/mcp"
]
}
}
}Authenticate via OAuth on first connect
Paste any of these prompts into Claude Code, Cursor or another MCP-compatible client.
“Show me unresolved production errors from the last 24h”
Uses: list_issues
“What's the stacktrace for issue SENTRY-42?”
Uses: get_issue
“Which errors spiked in the last release?”
Uses: search_errors
Access OpenTelemetry traces and metrics via Pydantic Logfire. Debug production issues fast.
Crash reporting and real user monitoring data. Track errors, performance, and user sessions.
Real-time production context — logs, metrics, traces. SRE intelligence for incident response.
Query metrics and alerts
If Sentry doesn't fit your stack, these Monitoring MCP servers solve similar problems.
The Sentry MCP server is an Monitoring Model Context Protocol server that lets Claude Code, Cursor, Windsurf, VS Code with Copilot, and other MCP-compatible AI agents error tracking and performance monitoring. It exposes Sentry's capabilities as tools the AI can call directly from your editor or CLI.
The fastest way is the MCPizy CLI: run `mcpizy install sentry` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y @sentry/mcp-server` and restarting Claude Code.
Yes. The Sentry MCP server is free and open source (see the GitHub repository linked on this page). You may still need a Sentry account or API key to connect the server to the underlying service, but the MCP layer itself has no MCPizy subscription cost.
Yes. Any MCP-compatible client works — including Claude Code, Claude Desktop, Cursor (via `.cursor/mcp.json`), Windsurf, VS Code with Copilot Chat, and custom agents built on the MCP SDK. The same install command targets all of them; only the config file path differs.
Once installed, your AI agent can error tracking and performance monitoring directly inside your conversation. Typical use cases include asking Claude Code or Cursor to run Sentry operations, inspect results, chain Sentry with other MCP servers (see our Workflow Recipes), and automate repetitive monitoring tasks without leaving your editor.