# mcp-sentry

> Use this tool when you need to analyze and debug Sentry issues, including retrieving stacktraces and debugging information, to identify and resolve errors in your application. It solves problems related to error monitoring and debugging, providing valuable insights into application performance. The mcp-sentry tool takes Sentry issue IDs as input and outputs detailed debugging information, making it a useful resource for developers and DevOps teams.

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

## Description

A Model Context Protocol server that enables retrieving and analyzing Sentry issues, including stacktraces and debugging information.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g4ot2apbav)
- **Repository:** <https://github.com/fastmcp-me/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": "fastmcp-me-mcp-sentry"
    }
  }
}
```

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

---
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