Sentry MCP Stdio
S

Sentry MCP Stdio

The Sentry MCP server is a Model Context Protocol server for interacting with Sentry, providing tools to retrieve and analyze error data, manage projects, and monitor application performance.
2.5 points
7.7K

What is the Sentry MCP Server?

The Sentry MCP Server is a bridge service that connects AI assistants with the Sentry error monitoring platform. It allows AI to access Sentry's data and functions through a standard protocol, such as querying error events, managing projects, or analyzing application performance issues.

How to use the Sentry MCP Server?

You need to configure the server address and authentication information in an AI tool that supports the MCP protocol (such as Cursor/Claude, etc.). After the configuration is complete, the AI assistant can interact with the Sentry platform through natural language instructions.

Use cases

Suitable for scenarios where development teams want to quickly query production environment errors, analyze the causes of failures, or manage monitoring projects through an AI assistant. Particularly suitable for situations where frequent interaction with Sentry is required but manual operations are expected to be reduced.

Main features

Project list query
Get a list of all accessible projects in the Sentry organization, supporting both summary and detailed view modes.
Error analysis
Query detailed information about a specific error by event ID or short ID, including stack traces and environment data.
Project management
Create a new project and obtain its client key, and manage project settings.
Session replay monitoring
Query user session replay data to help reproduce user operations when an error occurs.
Advantages
No need to directly use the Sentry UI, data can be queried through natural language.
Supports integration with multiple AI development tools (such as Cursor/Claude, etc.).
Provides structured analysis results of error data.
Simplifies frequent monitoring query operations.
Limitations
Requires a Sentry account and API access permissions.
Some advanced functions still need to be completed through the Sentry console.
Query results are limited by the understanding ability of the AI assistant.

How to use

Install dependencies
Ensure that Node.js (v14+) and npm/yarn are installed.
Configure the AI tool
Add the MCP server configuration in the AI tool settings.
Start the service
Run the MCP server.

Usage examples

Query production environment errors
During development, you need to quickly understand the latest errors in the production environment.
Analyze a specific error
After receiving user feedback, you need to analyze the specific cause of the error.

Frequently Asked Questions

How to obtain a Sentry authentication token?
Which AI development tools are supported?
What is the difference from the official Remote-MCP Server?

Related resources

Official Remote-MCP Server
The enhanced MCP server maintained by Sentry.
Online demo
A live demo of the Sentry MCP Server.
Sentry documentation
The official documentation of the Sentry platform.

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
        "sentry": {
            "command": "npx",
            "args": ["ts-node", "/Users/<your-user-directory>/sentry-mcp-ts/index.ts"],
            "env": {
                "SENTRY_AUTH": "<YOUR_AUTH_TOKEN>"
            }
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.

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