%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Sentry MCP Server Die
A Sentry error analysis tool based on TypeScript that provides the function of accessing and analyzing Sentry error data through an AI agent, supporting both tool and prompt interface methods.
rating : 2.5 points
downloads : 9
What is Sentry MCP Server?
Sentry MCP Server is a bridge tool that connects an AI assistant and the Sentry error monitoring platform. It allows developers to query and analyze application errors through simple conversations without directly operating the complex Sentry interface.How to use Sentry MCP Server?
Just start the local service, and then query error information through natural language in a supported IDE (such as Cursor). The system will automatically retrieve and format the Sentry data and return it to you.Applicable scenarios
Suitable for scenarios where developers need to quickly view error details during debugging, conduct daily error reviews as a team, and integrate error information into other workflows.Main features
Error retrievalGet the complete information of Sentry errors by ID or URL
Stack analysisAutomatically parse and format error stack traces for easy reading
Dual - mode interfaceSupports both tool - call and natural - language prompt interaction methods
IDE integrationSeamlessly integrate with modern IDEs such as Cursor to enhance the development experience
Advantages and limitations
Advantages
No need to memorize complex query syntax. Use natural language to get error information
Error data is automatically formatted, saving time on reading raw data
Local operation ensures data security without passing through third - party servers
Supports both technical and non - technical query methods
Limitations
Requires local deployment and configuration of Sentry access credentials
Only supports the Sentry platform and is not compatible with other error monitoring systems
Advanced filtering functions still need to be completed through the native Sentry interface
How to use
Install dependencies
Make sure you have installed the Node.js environment, and then install project dependencies via pnpm
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Configure the environment
Create a.env file in the project root directory and add your Sentry authentication information
Start the service
Compile and start the MCP server
IDE integration
Configure the local MCP server address (usually http://localhost:1337) in IDEs such as Cursor
Usage examples
Quickly view production - environment errorsWhen receiving an alarm email, query error details directly in the IDE without logging in to Sentry
Daily error reviewQuickly get an overview of key errors in the projects your team is responsible for before the morning meeting
Frequently asked questions
How to get a Sentry authentication token?
What if the service cannot be connected after startup?
Can multiple errors be queried simultaneously?
Will the data be stored locally?
Related resources
Sentry official documentation
Complete API and usage documentation for the Sentry platform
Cursor IDE official website
A modern IDE that supports the MCP protocol
GitHub repository
Project source code and issue tracking
Featured MCP Services
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
141
4.5 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points
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
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
87
4.3 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
6.7K
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#
567
5 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
754
4.8 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