# Sentry

> Use this tool when you need to integrate AI models with error tracking services to analyze and debug issues programmatically. Sentry provides a bridge to retrieve detailed error reports, including stack traces and event counts, through a clean API interface. It is ideal for developers building AI-assisted debugging workflows or automated error triage systems that require seamless interaction with error tracking services.

Canonical page: https://skillsregistry.net/skills/zzzccs123-sentry  
JSON: https://api.skillsregistry.net/v1/skills/zzzccs123-sentry

## Description

MCP Server Sentry provides a bridge between AI models and the Sentry error tracking service, allowing models to query and analyze error reports programmatically. Built with TypeScript, it offers tools for retrieving detailed issue information including stack traces, event counts, and timestamps through a clean API interface. The implementation handles URL parsing to extract organization and project information, making it ideal for developers seeking to incorporate error analysis capabilities into AI-assisted debugging workflows or automated error triage systems.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/zzzccs123-sentry)
- **Repository:** <https://github.com/zzzccs123/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": "zzzccs123-sentry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zzzccs123-sentry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zzzccs123-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