Sentry MCP
Developer ToolsAccess Sentry error tracking data. Search issues, view stack traces, and analyze error trends.
Author
Sentry
Category
Developer Tools
GitHub Stars
400+
Clients
2 supported
Sample Configuration
Add this to your MCP client configuration file (e.g., claude_desktop_config.json for Claude Desktop):
{
"mcpServers": {
"sentry": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sentry"
]
}
}
}Use our MCP Manifest Generator to build complete configurations visually, or the MCP Config Validator to check your existing config.
Compatible Clients
Details
| Server ID | sentry |
| Author | Sentry |
| Category | Developer Tools |
| Compatible With | Claude Desktop, Cursor |
| Tags | sentryerrorsmonitoring |
| GitHub | https://github.com/getsentry/sentry-mcp |
| GitHub Stars | 400+ |
About Sentry MCP
Sentry MCP is a Model Context Protocol (MCP) server created by Sentry. It enables AI assistants to access Sentry error tracking data. Search issues, view stack traces, and analyze error trends..
MCP (Model Context Protocol) is an open standard that allows AI models to securely connect to external tools and data sources. By installing Sentry MCP, you give your AI assistant the ability to perform real actions through a standardized interface, rather than just generating text about them.
This server is compatible with Claude Desktop, Cursor and has 400+ stars on GitHub. It falls under the "Developer Tools" category of MCP servers.
To get started, use our MCP Manifest Generator to create a complete configuration, or validate your existing setup with the MCP Config Validator.
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FAQ
How do I install Sentry MCP?
Visit the GitHub repository at https://github.com/getsentry/sentry-mcp for detailed installation instructions. Setup steps vary depending on your MCP client.
What clients work with Sentry MCP?
Sentry MCP is compatible with Claude Desktop, Cursor. Each client has its own configuration file format, but the MCP server setup is similar across all of them.
What can I do with Sentry MCP?
Access Sentry error tracking data. Search issues, view stack traces, and analyze error trends. Once configured, your AI assistant can interact with these capabilities through natural language commands, making it possible to perform real actions directly from your AI chat interface.