# Coderift MCP Server

> Coderift MCP Server — ferrari812-gts-coderift-mcp-server. Use this tool when you need to manage and prioritize customer feature requests in a controlled and secure manner. It solves problems related to request tracking, approval workflows, and progress monitoring, providing a centralized platform for role-based access and notifications. The tool accepts input from customers and employees, and outputs prioritized and approved requests, with support for sampling and progress tracking.

Canonical page: https://skillsregistry.net/skills/ferrari812-gts-coderift-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ferrari812-gts-coderift-mcp-server

## Description

MCP server for managing customer feature requests with role-based approvals, elicitation for high-impact changes, and support for notifications, sampling, and progress tracking. Enables employees to review, prioritize, and approve requests without direct database access.

## 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:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pwm4l6bpdu)
- **Repository:** <https://github.com/ferrari812-gts/Coderift-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": "ferrari812-gts-coderift-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ferrari812-gts-coderift-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ferrari812-gts-coderift-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