Sentry MCP Server 21w
S

Sentry MCP Server 21w

The Sentry MCP server is a tool that integrates Sentry error tracking into the development workflow, providing version monitoring, health statistics, and issue investigation capabilities, and supporting cloud - based and self - hosted Sentry instances.
2.5 points
9.2K

What is Sentry MCP Server?

Sentry MCP Server is a bridge connecting the Sentry error tracking system and the development environment, allowing developers to directly access Sentry data without leaving the MCP-compatible environment (such as VS Code).

How to use Sentry MCP Server?

Add the server to your MCP client through simple configuration, and then you can query release status, issue details, and health metrics.

Use cases

Suitable for development teams that need to monitor application stability in real - time during the development process, quickly investigate issues in the production environment, or analyze release quality.

Main features

Release monitoring
View recent release versions and the number of associated new issues
Release health statistics
Get detailed statistical information for a specific version, including crash - free rate and number of sessions
Issue investigation
Get detailed Sentry issue information by issue ID
Targeted issue list
Retrieve all issues related to a specific release version
Flexible connection
Supports Sentry.io cloud service and self - hosted Sentry instances
Advantages
Access Sentry data without switching tools
Monitor application stability in real - time
Simplify the issue investigation process
Support cloud services and self - hosted instances
Limitations
Requires valid Sentry API access permissions
Only supports MCP - compatible development environments
Some advanced Sentry features may not be available

How to use

Clone the repository
Clone the Sentry MCP Server code repository to your local machine
Install dependencies
Install the necessary dependencies and build the server
Configure the MCP client
Add the server to the MCP client's configuration file
Set environment variables
Create a.env file to configure Sentry access credentials

Usage examples

Monitor new release versions
Monitor the stability of a new version after deployment
Investigate crash issues
Quickly find and investigate specific issues causing crashes
Verify server configuration
Check if the server is correctly configured and can connect to Sentry

Frequently Asked Questions

How to get a Sentry API token?
Which MCP clients are supported?
Can I monitor multiple projects simultaneously?
Is the data real - time?

Related resources

GitHub repository
Project source code and issue tracking
Sentry documentation
Official Sentry documentation
MCP protocol description
Model Context Protocol specification

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
9.7K
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
11.1K
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
18.0K
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
10.0K
4 points
P
Paperbanana
Python
8.8K
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
10.6K
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
8.9K
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
10.0K
5 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
39.9K
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
28.9K
4.3 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
25.3K
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
84.5K
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#
39.6K
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
73.6K
4.5 points
M
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
59.1K
4.8 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
111.4K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase