MagicTeX runs on your own machine — the client starts it, so there is no endpoint to ping. 119 installs a week from npm. Last commit 16 Sep 2026.
LaTeX editor for AI agents: live PDF preview, PDF comments that drive edits, git history
We read the source, 3 d ago · rules 995398eba69f
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.
const child = spawn(command, args, { stdio: ['ignore', 'inherit', 'inherit'] });
const insert = before + sel + after;
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
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.
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 mcp add magictex -- npx -y magictex-mcp
{
"mcpServers": {
"magictex": {
"command": "npx",
"args": [
"-y",
"magictex-mcp"
]
}
}
}
[mcp_servers.magictex]
command = "npx"
args = ["-y", "magictex-mcp"]
{
"mcpServers": {
"magictex": {
"command": "npx",
"args": [
"-y",
"magictex-mcp"
]
}
}
}
{
"servers": {
"magictex": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"magictex-mcp"
]
}
}
}
A real-time, multiplayer filesystem for agents and humans: shared files, live edits, history.
Drive a live Cinevva game session: edit game files, import CC0 assets, preview changes.
Agents drive a layered AI inpainting editor: select by text, inpaint, mask, layers, PSD/ORA export.
Spec-driven development for AI coding agents: live requirements, stories and traceability over MCP
An MCP server that provides persistent multimodal context storage for LLM agents.
Agent-driven Godot playtesting: editor control, input injection, game-time stepping, live state.
Hypothesis-driven problem solving for AI agents: probe, falsify, escalate.
Hypothesis-driven problem solving for AI agents: probe, falsify, escalate.
Answers built from our own checks of this server.