# Sentry

> Use this tool when you need to integrate AI assistants with error tracking capabilities to analyze and resolve application errors. It solves problems related to error investigation, trend monitoring, and production issue troubleshooting by providing a standardized interface to retrieve issue information from Sentry projects. The tool accepts API tokens and URLs as inputs and outputs structured error data, including stacktraces and occurrence statistics, making it ideal for developers to troubleshoot issues through conversational AI.

Canonical page: https://skillsregistry.net/skills/faure-alexis-sentry  
JSON: https://api.skillsregistry.net/v1/skills/faure-alexis-sentry

## Description

Sentry-MCP-Server provides a bridge between AI assistants and Sentry error tracking platform, enabling retrieval and analysis of application errors through a standardized interface. The server exposes tools for fetching detailed issue information including stacktraces, error types, and occurrence statistics from Sentry projects. Built with TypeScript and the MCP framework, it authenticates with Sentry via API tokens, handles URL parsing for convenient issue referencing, and formats error data in a structured way. This implementation is particularly valuable for developers who need to investigate application crashes, monitor error trends, or troubleshoot production issues directly through conversational AI without context switching.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/faure-alexis-sentry)
- **Repository:** <https://github.com/faurealexis/sentry-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "faure-alexis-sentry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/faure-alexis-sentry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/faure-alexis-sentry/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt