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Milatexai MCP Server

by yasaminfayyaz Your server? Claim it
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Milatexai is answering right now. Last checked 15 min ago. Last commit 9 Nov 2026.

Edit your Overleaf LaTeX projects from Claude and ChatGPT; every change is a real Git commit.

Uptime history 91 days of history · worst day 28%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
—
Tools
hidden behind auth
128 ms
Response time
average over 24h
2
Stars
last commit 9 Nov 2026

What the code does

We read the source, 16 h ago · rules 995398eba69f

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.

            return subprocess.run([exe, "--version"], capture_output=True, timeout=10).returncode
Builds a file path from a variable leafbridge/texlocate.py:221
    main_path = os.path.join(repo_dir, main_rel)
Dumps the whole environment leafbridge/git_worker.py:504
        env = dict(os.environ)
  if(s.issues.length){ box.classList.remove("hidden"); box.innerHTML=s.issues.map(x=>'<div class="'+(x.level==="e"?"e":"w")+'"><span class="k">'+esc(x.key||"")+'</span>: '+esc(x.msg)+'</div>').join(""); }

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.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

run in your terminal
claude mcp add milatexai --transport http https://milatexai.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://milatexai.com/mcp
~/.codex/config.toml
[mcp_servers.milatexai]
url = "https://milatexai.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "milatexai": {
      "url": "https://milatexai.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "milatexai": {
      "type": "http",
      "url": "https://milatexai.com/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://milatexai.com/mcp streamable-http sign-in 98 ms 15 min ago

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Milatexai — questions

Answers built from our own checks of this server.

Why is there no tool list for Milatexai?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is Milatexai working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 128 ms. The bar chart above shows every period we have measured.
How do I connect Milatexai?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to Milatexai?
No API key is involved. Milatexai answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is Milatexai?
It answers our handshake in 128 ms on average, which is faster than 87% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Milatexai open source?
The code is open source: it is published under the AGPL-3.0 licence, written in Python, 2 stars on GitHub and 1 open issue. The licence covers the code in the repository, not the hosted service at milatexai.com, which runs on its operator's own terms.