# Sentry

> Use this tool when you need to manage and investigate errors, events, and performance issues in your applications. It solves problems related to error tracking, release management, and team collaboration by providing a centralized platform to search, analyze, and document issues. With inputs such as error queries and project IDs, and outputs including root cause insights and relevant documentation, Sentry streamlines issue resolution and optimization.

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

## Description

Manage and investigate Sentry issues, events, traces, releases, and organizations from one place. Search for errors, run counts and performance queries, fetch attachments and DSNs, and navigate projects and teams. Analyze specific issues with root cause insights and pull relevant Sentry documentation on demand.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/sentry)

## 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": "sentry"
    }
  }
}
```

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