# Sentry

> Use this tool when you need to monitor and debug errors in your AI applications, as it connects AI assistants to Sentry.io for retrieving and analyzing specific issues, including stack traces and error frequencies. It solves problems related to error investigation and debugging, providing valuable insights for developers. The tool accepts project and issue inputs and outputs detailed error reports, making it ideal for use in production error investigation workflows.

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

## Description

mcp-sentry-custom is a server that connects AI assistants to Sentry.io for error monitoring and debugging. It provides tools to retrieve and analyze specific Sentry issues or list all issues from a project, including detailed stack traces, error frequencies, and timestamps. The implementation supports both official Sentry.io and self-hosted Sentry instances, making it valuable for developers who need to investigate production errors without leaving their AI assistant workflow.

## 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/javader-sentry)
- **Repository:** <https://github.com/javader/mcp-sentry-custom>

## 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": "javader-sentry"
    }
  }
}
```

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