# mcp-discord-assistant

> mcp-discord-assistant — jlassi-mohamed-mcp-discord-assistant. Use this tool when you need to automate tasks and workflows on Discord, leveraging git capabilities to streamline processes and enhance productivity. It solves problems related to manual task management, notification, and collaboration on the platform. The assistant takes in commands and configuration inputs, outputting automated actions and notifications to facilitate seamless Discord management.

Canonical page: https://skillsregistry.net/skills/jlassi-mohamed-mcp-discord-assistant  
JSON: https://api.skillsregistry.net/v1/skills/jlassi-mohamed-mcp-discord-assistant

## Description

A powerful Discord management assistant leveraging the Model Context Protocol (MCP) and Ollama for local, privacy-first intelligence. This project provides multiple interfaces to interact with your Discord server, including a custom Streamlit dashboard and direct integration with Claude Desktop.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** communication
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Jlassi-Mohamed/mcp-discord-assistant)

## 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": "jlassi-mohamed-mcp-discord-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jlassi-mohamed-mcp-discord-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jlassi-mohamed-mcp-discord-assistant/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
