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.
rating : 2 points
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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 queryGet detailed information about all accessible projects in a specified organization, supporting both summary and detailed view modes.
Quick issue locationQuickly locate and obtain detailed information about a specific error through a short ID, including stack traces and context data.
In - depth event analysisObtain and analyze the complete data of a specific error event to help diagnose the root cause of the problem.
Project managementCreate a new project and automatically obtain the client key, simplifying the project initialization process.
Session replay monitoringView user session replay data to help reproduce and diagnose front - end errors.
Advantages and limitations
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 stabilityProduct managers regularly check the error trends of key projects.
Diagnose problems in the production environmentDevelopers quickly locate errors reported by users.
Initialize a new projectTeam 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.
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