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Human-in-the-Loop MCP Server

Community
KOBA789

An MCP (Model Context Protocol) server that allows AI assistants to ask questions to humans via Discord.

PublisherKOBA789
Repositoryhuman-in-the-loop
LanguageRust
Forks
21
Stars
224
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Human-in-the-Loop MCP Server exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    224 stars and 21 forks from the linked repository.

Human-in-the-Loop MCP Server

An MCP (Model Context Protocol) server that allows AI assistants to ask questions to humans via Discord.

Overview

This MCP server is used when AI assistants need human input or judgment during their work. For example:

  • When having an LLM create documentation, the AI designs the structure while humans provide specific content
  • When the AI needs confirmation on uncertain decisions
  • When specialized knowledge or personal information is required

Requirements

  • Rust (1.70 or higher)
  • Discord account and bot
  • MCP-compatible AI client (Claude Desktop, Copilot Edits, etc.)

Setup

1. Create Discord Bot

  1. Go to Discord Developer Portal
  2. Create a new application
  3. Create a bot in the Bot section and obtain the token
  4. Set required permissions:
    • Send Messages
    • Create Public Threads
    • Read Message History
  5. Enable privileged gateway intents in Bot section:
    • Message Content Intent

2. Install

bash
cargo install --git https://github.com/KOBA789/human-in-the-loop.git

Connecting with MCP Clients

Claude Desktop Configuration

Add the following to claude_desktop_config.json:

json
{
  "mcpServers": {
    "human-in-the-loop": {
      "command": "human-in-the-loop",
      "args": [
        "--discord-channel-id", "channel-id",
        "--discord-user-id", "user-id"
      ],
      "env": {
        "DISCORD_TOKEN": "your-discord-bot-token"
      }
    }
  }
}

Claude Code Configuration

For Claude Code (claude.ai/code), add to your MCP settings:

json
{
  "mcpServers": {
    "human-in-the-loop": {
      "command": "human-in-the-loop",
      "args": [
        "--discord-channel-id", "channel-id",
        "--discord-user-id", "user-id"
      ]
    }
  }
}

Set the Discord token as an environment variable before running Claude Code:

bash
export DISCORD_TOKEN="your-discord-bot-token"
claude

Note: The server automatically reads the Discord token from the DISCORD_TOKEN environment variable. You can also pass it via --discord-token argument if needed.

Usage

AI assistants can ask questions to humans using the ask_human tool:

Human: Please create a documentation outline. You can ask the human as you need.
Assistant: I'll create a documentation outline. Let me ask you some questions first.
[Uses ask_human tool]

The AI posts questions in Discord and mentions the specified user. When the user replies in Discord, the response is returned to the AI.

How It Works

  1. AI assistant calls the ask_human tool
  2. MCP server creates a thread in the specified Discord channel (or uses existing thread)
  3. Posts the question and mentions the specified user
  4. Waits for user's reply
  5. Returns the reply content to the AI assistant

Finding Discord IDs

Getting Channel ID

  1. Enable Developer Mode in Discord (Settings → Advanced → Developer Mode)
  2. Right-click on channel → "Copy ID"

Getting User ID

  1. Right-click on user → "Copy ID"

Roadmap

  • Future Migration to MCP Elicitation: Once MCP's Elicitation implementation becomes more widespread and standardized, we plan to migrate the UI from Discord to native MCP Elicitation. This will provide a more integrated experience directly within MCP-compatible clients.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "koba789-human-in-the-loop": {
      "command": "",
      "args": []
    }
  }
}

Use Human-in-the-Loop MCP Server MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Human-in-the-Loop MCP Server is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Human-in-the-Loop MCP Server as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Human-in-the-Loop MCP Server MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "koba789-human-in-the-loop": {
      "command": "npx",
      "args": [
        "-y",
        "human-in-the-loop"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Human-in-the-Loop MCP Server MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Human-in-the-Loop MCP Server MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Human-in-the-Loop MCP Server to help me with this task?
Human-in-the-Loop MCP Server
Sure. I read it.
Here is what I found using Human-in-the-Loop MCP Server.

Frequently asked questions

What is the Human-in-the-Loop MCP Server MCP server used for?

Human-in-the-Loop MCP Server is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Human-in-the-Loop MCP Server MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Human-in-the-Loop MCP Server with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Human-in-the-Loop MCP Server MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Human-in-the-Loop MCP Server connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Human-in-the-Loop MCP Server MCP to TypingMind?

Human-in-the-Loop MCP Server runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Human-in-the-Loop MCP Server MCP provide in TypingMind?

Human-in-the-Loop MCP Server exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Human-in-the-Loop MCP Server MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Human-in-the-Loop MCP Server requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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