mcpbeat

Familiar MCP Server

com.familiarvtt/familiar
local only

Familiar runs on your own machine — the client starts it, so there is no endpoint to ping. 494 installs a week from npm.

AI co-pilot for Foundry VTT — combat, scenes & audio. Requires the Familiar module.

Installs per day peak 167 · avg 50 · +74% w/w
a month agotoday
494
Installs / week
npm · familiar-vtt
Stars
on GitHub
Last commit
0 releases in 90 days
License
language unknown

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add familiar -- npx -y familiar-vtt
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "familiar": {
      "args": [
        "-y",
        "familiar-vtt"
      ],
      "command": "npx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.familiar]
command = "npx"
args = ["-y", "familiar-vtt"]
.cursor/mcp.json
{
  "mcpServers": {
    "familiar": {
      "args": [
        "-y",
        "familiar-vtt"
      ],
      "command": "npx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "familiar": {
      "args": [
        "-y",
        "familiar-vtt"
      ],
      "command": "npx"
    }
  }
}

Familiar — questions

Answers built from our own checks of this server.

Why is there no uptime for Familiar?
Familiar runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package familiar-vtt was installed 494 times last week.
How do I connect Familiar?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls familiar-vtt straight from npm; nothing to host, nothing to sign up for.
How many people use Familiar?
The npm package familiar-vtt was installed 494 times in the last week. Week over week that is +74%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.