# mcp-sentry

> Use this tool when you need to retrieve and analyze error reports, stacktraces, and debugging information from Sentry.io to troubleshoot and resolve issues. It enables AI assistants to interface with Sentry issues, providing valuable insights to improve system reliability and performance. Ideal for use cases involving error monitoring, debugging, and incident management.

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

## Description

Enables AI assistants to retrieve and analyze Sentry issues, including error reports, stacktraces, and debugging information from Sentry.io.

## Trust

- **Trust score (0–1):** 0.69
- **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:** [Glama](https://glama.ai/mcp/servers/w3c1n864su)
- **Repository:** <https://github.com/elliottlawson/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": "elliottlawson-mcp-sentry"
    }
  }
}
```

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