AIBase
EN
Explore
Sentry MCP Server Die
S

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.
Developer toolsMonitoring#Error analysis#Sentry#AI tool#Real - time communication.TypeScript
2.5 points
5.0K
Open Site

Overview

Content Details

Alternatives

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 retrieval
Get the complete information of Sentry errors by ID or URL
Stack analysis
Automatically parse and format error stack traces for easy reading
Dual - mode interface
Supports both tool - call and natural - language prompt interaction methods
IDE integration
Seamlessly integrate with modern IDEs such as Cursor to enhance the development experience
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
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 errors
When receiving an alarm email, query error details directly in the IDE without logging in to Sentry
Daily error review
Quickly 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

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
5.4K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.6K
4 points
P
Paperbanana
Python
6.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
7.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.7K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
6.7K
5 points
G
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
26.0K
4.3 points
M
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
36.0K
5 points
N
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
21.7K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
74.4K
4.3 points
U
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#
31.9K
5 points
F
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
65.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.2K
4.5 points
C
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
98.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase