Servidor MCP para LaTeX

curl https://mcp.formatex.io/health
# {"status":"ok","service":"formatex-mcp","version":"1.0.0"}

{
  "name": "compile_latex",
  "description": "Compile LaTeX source code to a PDF using the FormaTeX API. Returns a download URL for the PDF. Specify the engine explicitly (pdflatex for standard documents, xelatex/lualatex for Unicode/modern fonts, latexmk for complex documents).",
  "inputSchema": {
    "type": "object",
    "properties": {
      "latex": { "type": "string" },
      "engine": { "type": "string" },
      "runs": { "type": "integer" },
      "timeout": { "type": "integer" }
    },
    "required": ["latex", "engine", "runs", "timeout"],
    "additionalProperties": false
  }
}

Compilation successful. Engine: pdflatex, Duration: <ms> ms, Job ID: <job id>, PDF size: <bytes> bytes
Download PDF: <url>

import os

import anthropic

client = anthropic.Anthropic()  # reads ANTHROPIC_API_KEY

response = client.beta.messages.create(
    model="claude-sonnet-5-5",
    max_tokens=2048,
    betas=["mcp-client-2025-11-20"],
    mcp_servers=[
        {
            "type": "url",
            "url": "https://mcp.formatex.io/mcp",
            "name": "formatex",
            # Your FormaTeX API key, sent to the server as a bearer token.
            "authorization_token": os.environ["FORMATEX_API_KEY"],
        }
    ],
    tools=[{"type": "mcp_toolset", "mcp_server_name": "formatex"}],
    messages=[
        {
            "role": "user",
            "content": (
                "Write a one-page LaTeX note on gradient descent with the "
                "update rule as a display equation, compile it, and give me "
                "the PDF link."
            ),
        }
    ],
)

for block in response.content:
    if block.type == "mcp_tool_use":
        print("Tool call:", block.name)
    elif block.type == "text":
        print(block.text)