# Sentry

> Use this tool when you need to integrate error tracking and debugging into your workflow, or automate the analysis of issues from Sentry.io. It solves problems related to error reporting, stacktrace analysis, and debugging by providing tools to inspect and retrieve issues by ID, URL, or project. The tool accepts issue IDs, URLs, or project parameters as input and outputs detailed error reports, stacktraces, and debugging information.

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

## Description

MCP server for retrieving and analyzing issues from Sentry.io. Provides tools to inspect error reports, stacktraces, and debugging information from Sentry accounts. Includes functionality to retrieve individual issues by ID or URL, as well as list issues by project. Useful for developers and support teams needing to integrate Sentry error tracking into their workflows or AI-assisted debugging processes.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/qianniuspace-sentry)
- **Repository:** <https://github.com/mcp-100/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": "qianniuspace-sentry"
    }
  }
}
```

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