# MCP Server Sentry

> Use this tool when you need to integrate AI models with error tracking capabilities, enabling them to query and analyze error reports and events from Sentry. It solves problems related to error monitoring and analysis, providing insights to improve model performance and reliability. The MCP Server Sentry takes in AI model queries and outputs analyzed error reports and events, ideal for use cases where error tracking and model optimization are crucial.

Canonical page: https://skillsregistry.net/skills/zzzccs123-mcp-sentry  
JSON: https://api.skillsregistry.net/v1/skills/zzzccs123-mcp-sentry

## Description

A TypeScript implementation of a Model Context Protocol server that connects to Sentry error tracking service, allowing AI models to query and analyze error reports and events.

## Trust

- **Trust score (0–1):** 1.00
- **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/crxk6jhf1u)
- **Repository:** <https://github.com/Zzzccs123/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": "zzzccs123-mcp-sentry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zzzccs123-mcp-sentry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zzzccs123-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