Fantoma MCP Server

by huzy85 Your server? Claim it

local only

Fantoma runs on your own machine — the client starts it, so there is no endpoint to ping. 580 installs a week from pypi. Last commit 13 Oct 2026.

Accessibility-tree browser for AI agents: read pages, log in, extract data, run tasks.

Installs per day peak 458 · avg 56 · +73% w/w

a month agotoday

580

Installs / week

pypi · fantoma

Stars

0 open issues

13 Oct 2026

Last commit

from GitHub

MIT

License

Python

What the code does

We read the source, 1 d ago · rules ccca72095570

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Builds a file path from a variable fantoma/browser/engine.py:287, fantoma/session.py:65, [пакет] fantoma/session.py:65 и ещё 3

                trace_path = os.path.join(self._trace_dir, f"{domain}-{ts}.zip")

Runs an external command fantoma/cli.py:763, tools/live_agent_check.py:158, weekly_monitor.py:80 и ещё 3

                result = subprocess.run(

Sends data to a third-party sink fantoma/captcha/telegram_solver.py:32, [пакет] fantoma/captcha/telegram_solver.py:32

        self._base_url = f"https://api.telegram.org/bot{bot_token}"

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

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.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add fantoma -- uvx fantoma

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "fantoma": {
      "args": [
        "fantoma"
      ],
      "command": "uvx"
    }
  }
}

~/.codex/config.toml

[mcp_servers.fantoma]
command = "uvx"
args = ["fantoma"]

.cursor/mcp.json

{
  "mcpServers": {
    "fantoma": {
      "args": [
        "fantoma"
      ],
      "command": "uvx"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "fantoma": {
      "args": [
        "fantoma"
      ],
      "command": "uvx"
    }
  }
}

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Fantoma — questions

Answers built from our own checks of this server.

Why is there no uptime for Fantoma?

Fantoma 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 pypi package fantoma was installed 580 times last week.

How do I connect Fantoma?

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 fantoma straight from pypi; nothing to host, nothing to sign up for.

How many people use Fantoma?

The pypi package fantoma was installed 580 times in the last week. Week over week that is +73%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Fantoma open source?

Yes — it is published under the MIT licence, written in Python and 7 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.