# Sentry MCP Server

> Use this tool when you need to investigate and resolve errors efficiently, as it enables searching and analyzing Sentry issues, events, and traces via natural language. It solves problems related to error investigation and distributed tracing, providing valuable insights for developers and operators. By accepting natural language inputs and outputting relevant issue and event data, it streamlines the debugging process in software development and production environments.

Canonical page: https://skillsregistry.net/skills/elad12390-sentry-mcp  
JSON: https://api.skillsregistry.net/v1/skills/elad12390-sentry-mcp

## Description

Enables searching and analyzing Sentry issues, events, and traces via natural language, providing tools for error investigation and distributed tracing.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u8sxpkr5n5)
- **Repository:** <https://github.com/elad12390/sentry-mcp>

## 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": "elad12390-sentry-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/elad12390-sentry-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/elad12390-sentry-mcp/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