# sentry-mcp-server

> sentry-mcp-server — friendlygeorge-sentry-mcp-server. Use this tool when you need to integrate AI assistants with Sentry for streamlined error tracking and project management. It connects AI models to Sentry through the Model Context Protocol, enabling features like issue tracking, event monitoring, and release management. Ideal for use cases requiring automated error reporting and project oversight, it accepts inputs like organization and project IDs, and outputs detailed information on issues, events, and releases.

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

## Description

Connect AI assistants to Sentry for error tracking, issues, releases, events, and project management through the Model Context Protocol. Provides tools to list organizations, projects, issues, events, releases, teams, and members, as well as get details and update issue status.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kj2i5v4bsk)
- **Repository:** <https://github.com/friendlygeorge/sentry-mcp-server>

## 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": "friendlygeorge-sentry-mcp-server"
    }
  }
}
```

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