# codex-sentry-mcp

> Use this tool when you need to automate error resolution in your codebase by leveraging AI-powered analysis and fixes. It bridges OpenAI Codex with Sentry to fetch, analyze, and resolve errors, streamlining the debugging process and reducing manual effort. Ideal for developers seeking to optimize error handling and improve overall code quality, it takes in error reports and outputs AI-driven solutions.

Canonical page: https://skillsregistry.net/skills/tongleminhanh3-dotcom-codex-sentry-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tongleminhanh3-dotcom-codex-sentry-mcp

## Description

Bridges OpenAI Codex with Sentry to automatically fetch, analyze, and fix errors using AI.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s86pgdjpyh)
- **Repository:** <https://github.com/tongleminhanh3-dotcom/codex-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": "tongleminhanh3-dotcom-codex-sentry-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tongleminhanh3-dotcom-codex-sentry-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tongleminhanh3-dotcom-codex-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