# mcp-sentry-ts

> Use this tool when you need to manage and query Sentry projects using natural language, solving issues like error tracking and project monitoring. It takes natural language inputs and returns relevant project data, issues, and events as output. Ideal for use cases where manual querying is inefficient, such as real-time error monitoring and automated issue tracking.

Canonical page: https://skillsregistry.net/skills/cynephy6-mcp-sentry  
JSON: https://api.skillsregistry.net/v1/skills/cynephy6-mcp-sentry

## Description

Enables querying and managing Sentry projects, issues, and events through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/or0uulyh97)
- **Repository:** <https://github.com/CynepHy6/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": "cynephy6-mcp-sentry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cynephy6-mcp-sentry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cynephy6-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