mcpField
D
DadMCP

DadMCP

Local
dadmcp.comScience & Education1Updated 74w ago

About DadMCP

DadMCP is a remote MCP server for AI-powered learning at home. It is intended to support children's creativity through education activities led by parents.

Key features

  1. 01Remote MCP server for home learning
  2. 02AI-powered education

Use cases

  1. 01Supporting learning activities at home
  2. 02Encouraging children's creativity through education

MCP support

It is a remote MCP server, connected through the `mcp-remote` command using an access-token URL.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"dad": {
"command": "npx",
"args": [
"-y",
"mcp-remote"
]
}
}
}
Run commandnpx -y mcp-remote

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmmcp-remote

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

DadMCP

Spark your kid's creativity with AI-powered education at home. Remote MCP server for dad-powered learning.

Connecting to Remote MCP Server

{
  "mcpServers": {
    "DadMCP": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://dadmcp.com/sse?token=YourAccessToken"
      ]
    }
  }
}

Running Locally

Set up local Supabase

npx supabase@beta start
npx supabase@beta reset
npx supabase@beta gen types typescript --local > lib/database.types.ts

Update .env.local

NEXT_PUBLIC_SUPABASE_URL=http://127.0.0.1:54321
NEXT_PUBLIC_SUPABASE_ANON_KEY=YourSupabaseAnonKey
REDIS_URL=redis://localhost:6379
REPLICATE_API_TOKEN=YouReplicateApiToken

Run Redis, install dependencies and run Next.js server

redis-server
pnpm i
pnpm run dev

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.