# Hello from Sentry

> Use this tool when you need to integrate Sentry with a minimal MCP server implementation, providing a simple example to demonstrate core functionality and enable customization for various use cases. It solves problems of setting up a basic MCP server and integrating with Sentry, accepting Git inputs and producing a functional server implementation as output. Ideal for developers looking to quickly start with MCP and extend the example for their specific needs.

Canonical page: https://skillsregistry.net/skills/kamath-pls-work  
JSON: https://api.skillsregistry.net/v1/skills/kamath-pls-work

## Description

Provide a simple MCP server implementation to demonstrate integration with Sentry. Enable developers to quickly start with MCP by offering a minimal example that can be extended for custom use cases.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** monitoring
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/kamath/pls-work)

## 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-pls-work"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kamath-pls-work` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kamath-pls-work/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