latex-mcp-server

LaTeX MCP Server

An MCP (Model Context Protocol) server that can supercharge your VSCode + LaTex Workshop writing workflow

Currently houses MCP tools, and new tools can be easily added in either Python and TypeScript. The Python process is the MCP server; selected tools are delegated to a small Node/TypeScript module via a bridge.

LaTex MCP Server + Copilot/Claude/Cursor, what can you do?

• Read your cited papers, verify / add onto your claims
• Access your python scripts to generate new figures / latex tables based on your experiment data, and place them into latex autonomously
• Can verify every step and ensure your pdf compiles
• Functionally it can autonomously take your outline + experimental results and turn it into a paper (may looks like slop though)

Python Tools

• list_tex_files
  Lists all .tex files under your LaTeX workspace (relative paths). Useful for LLMs or agents to discover available chapters and sections.

• read_file
  Reads a text or binary-safe slice of a file given a relative path inside the workspace. Supports specifying a maximum number of bytes to return.

• extract_bibliography
  Parses a BibTeX file and returns structured entry metadata, including download URLs (DOI, arXiv). Helps agents or scripts work with citation data programmatically.

• download_bibliography
  Downloads PDFs for bibliography entries listed in resources/cited_papers/index.json. Can force re-downloads and limit the number of new downloads.

• compile_latex
  Runs LaTeX compilation (pdflatex/xelatex via latexmk) on the main document and returns success plus a log snippet. Supports specifying the entry .tex file and number of passes.

• read_pdf
  Extracts text and metadata from a PDF filepath using pypdf, with page and character limits. Stores a JSON artifact for downstream use.

• read_pdf_from_citation
  Resolves a citation key via resources/cited_papers/index.json to its PDF and extracts text (auto-downloads if needed). Returns extracted text, metadata, and the citation key.