# Codemend MCP Server

> Use this tool when you need to streamline software crash resolution by connecting AI tools to production error monitoring. It solves problems of manual crash analysis and resolution by providing AI-generated fixes and automating GitHub pull requests. The Codemend MCP Server takes production error data as input and outputs actionable fixes and pull requests to resolve issues efficiently.

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

## Description

Connects AI tools directly to Codemend production error monitoring to list, analyze, and resolve software crashes. It enables users to retrieve AI-generated fixes and automatically open GitHub pull requests to address production issues.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bnoowlrg4a)
- **Repository:** <https://github.com/Codemend/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": "codemend-mcp"
    }
  }
}
```

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