# MCP Sentry

> Use this tool when you need to inspect and analyze error reports from your Sentry account, as it retrieves and examines issues, stacktraces, and debugging information to help resolve errors and exceptions. It solves problems related to error monitoring, debugging, and issue tracking, providing valuable insights for development and maintenance. The MCP Sentry tool takes Sentry.io issues as input and outputs detailed error reports and analysis.

Canonical page: https://skillsregistry.net/skills/mcp-100-mcp-sentry  
JSON: https://api.skillsregistry.net/v1/skills/mcp-100-mcp-sentry

## Description

A Model Context Protocol server that retrieves and analyzes Sentry.io issues, allowing users to inspect error reports, stacktraces, and debugging information from their Sentry account.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lqepczdj3x)
- **Repository:** <https://github.com/MCP-100/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": "mcp-100-mcp-sentry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp-100-mcp-sentry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp-100-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