# sentry-mcp-rs

> Use this tool when you need to set up a fast and minimal Sentry server for error tracking and monitoring. It solves problems related to error reporting, monitoring, and logging, providing a reliable and efficient way to manage errors in applications. The sentry-mcp-rs server accepts error reports as input and outputs detailed error logs and metrics for further analysis.

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

## Description

Fast and minimal Sentry MCP server written in Rust

## Trust

- **Trust score (0–1):** 0.90
- **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:** [Glama](https://glama.ai/mcp/servers/dxiusj5b3q)
- **Repository:** <https://github.com/utapyngo/sentry-mcp-rs>

## 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": "utapyngo-sentry-mcp-rs"
    }
  }
}
```

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

---
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