# Sentry

> Use this tool when you need to monitor and track errors in your applications, and want to access Sentry services through a unified API using natural language inputs. It solves problems related to error tracking, monitoring, and resolution, providing outputs such as error reports and alerts. Ideal for use cases where developers and teams need to quickly identify and resolve errors in their software applications.

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

## Description

Enables interaction with Sentry's error tracking and monitoring tools through a unified API, allowing natural language access to Sentry services.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yjhjoxk87n)
- **Repository:** <https://github.com/universal-mcp/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": "universal-mcp-sentry"
    }
  }
}
```

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