# MCP Fullstack Application

> Use this tool when you need to integrate AI assistants with external data sources and tools, providing a secure connection for task management functionality. It solves problems related to data access and workflow automation, allowing for seamless interaction between AI agents and external systems. The application takes in user inputs and outputs task management data, utilizing a Convex backend and Remix frontend to facilitate integration.

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

## Description

A complete fullstack application that demonstrates Model Context Protocol integration for AI assistants to securely connect to external data sources and tools, providing task management functionality with a Convex backend and Remix frontend.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q5a6pgj2my)
- **Repository:** <https://github.com/asif-reh/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": "asif-reh-mcp"
    }
  }
}
```

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