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.
rating : 2.5 points
downloads : 32
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 queryGet a list of all accessible projects in the Sentry organization, supporting both summary and detailed view modes.
Error analysisQuery detailed information about a specific error by event ID or short ID, including stack traces and environment data.
Project managementCreate a new project and obtain its client key, and manage project settings.
Session replay monitoringQuery user session replay data to help reproduce user operations when an error occurs.
Advantages and limitations
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 errorsDuring development, you need to quickly understand the latest errors in the production environment.
Analyze a specific errorAfter 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.
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points