Sentry MCP Ts
S

Sentry MCP Ts

The Sentry MCP Server is a Model Context Protocol service for interacting with Sentry, providing tools to retrieve and analyze error data, manage projects, and monitor application performance.
2 points
7.3K

What is the Sentry MCP Server?

The Sentry MCP Server is a bridge service that allows AI assistants to interact with the Sentry error monitoring platform through a standard protocol. It simplifies the process of querying error data, managing projects, and obtaining performance metrics, enabling non - technical users to easily use the powerful features of Sentry.

How to use the Sentry MCP Server?

You can connect to this service by configuring an AI assistant (such as Claude), or directly run the server and make calls through the standard API. The main steps include installing dependencies, configuring authentication tokens, and setting connection parameters.

Applicable scenarios

It is suitable for scenarios where development teams need AI assistants to help analyze application errors, product managers monitor project stability, or technical support staff quickly query details of specific errors.

Main features

Project list query
Get detailed information about all accessible projects in a specified organization, supporting both summary and detailed view modes.
Quick issue location
Quickly locate and obtain detailed information about a specific error through a short ID, including stack traces and context data.
In - depth event analysis
Obtain and analyze the complete data of a specific error event to help diagnose the root cause of the problem.
Project management
Create a new project and automatically obtain the client key, simplifying the project initialization process.
Session replay monitoring
View user session replay data to help reproduce and diagnose front - end errors.
Advantages
Simplify the complexity of the Sentry API and provide a more user - friendly interaction interface
Support integration with multiple AI assistants, such as Claude, Cursor, etc.
Provide two modes of data summary and detailed view to meet different needs
Support Markdown format output for easy reading and sharing
Limitations
An effective Sentry account and API access permissions are required
Some functions have been partially replaced by the more complete Remote - MCP Server
Running locally requires a Node.js environment
Some advanced functions require an authentication token with specific permissions

How to use

Install dependencies
Ensure that Node.js (v14 or higher) and the npm/yarn package manager are installed.
Get an authentication token
Generate an authentication token with appropriate permissions in the Sentry account settings.
Configure the AI assistant
Add the MCP server configuration in the AI assistant settings, specifying the server path and authentication token.
Start the server
Run the server to start processing requests.

Usage examples

Monitor project stability
Product managers regularly check the error trends of key projects.
Diagnose problems in the production environment
Developers quickly locate errors reported by users.
Initialize a new project
Team leaders create monitoring projects for new products.

Frequently Asked Questions

How to get a Sentry authentication token?
Why is the Remote - MCP Server recommended?
Which AI assistants are supported for integration?
How to view more detailed error data?

Related resources

Official repository of the Remote - MCP Server
A more feature - rich official MCP server implementation.
Online demo
A real - time demo of the Sentry MCP Server.
Official Sentry documentation
Complete documentation for the Sentry platform.
MCP protocol description
Technical specifications of the Model Context Protocol.

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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