# Hello from Sentry

> Use this tool when you need to integrate error monitoring and logging into your MCP-based applications, enabling rapid development and debugging. It provides a simple MCP server implementation to demonstrate Sentry integration, accepting Git-based inputs and producing error reports as outputs. Ideal for developers seeking to quickly start using MCP with robust error tracking capabilities.

Canonical page: https://skillsregistry.net/skills/kamath-hello-from-sentry  
JSON: https://api.skillsregistry.net/v1/skills/kamath-hello-from-sentry

## Description

Provide a simple MCP server implementation to demonstrate integration with Sentry. Enable developers to quickly start using MCP with error monitoring and logging capabilities. Facilitate rapid development and debugging of MCP-based applications.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** monitoring
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/kamath/hello-from-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": "kamath-hello-from-sentry"
    }
  }
}
```

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