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615,520 tools. Updated 2026-09-27 06:04

"Comparison of Python-based tools for converting TeX to Lean" matching MCP tools:

  • Compile LaTeX to PDF and update live preview locally. Uses local TeX or bundled WASM, returns compile status and preview URL.
    AGPL 3.0
  • Retrieve cached version information for Python development tools including pip, poetry, and others in a specified directory.
    Apache 2.0
  • Identify relevant premises from a Lean proof state. Provide file path, line, and column to search for useful lemmas to advance your proof.
    MIT
  • Set the project compiler to Typst so .typ files compile correctly and PDF-position tools return results. Avoid TeX errors from mismatched compiler.
    MIT
    Destructive
  • Compile a .tex file using latexmk or pdflatex, returning parsed errors. If no TeX engine is installed, provides guidance on how to proceed.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    An MCP server for ingesting Lean Six Sigma PDFs into a searchable multimodal knowledge base.
    MIT

Matching MCP Connectors

  • Switch between lean and deep memory modes: lean for fast, low-RAM recall, deep for full BVH-based quality recall on large stores. Takes effect immediately.
    AGPL 3.0
  • Lists all file dependencies of a LaTeX document, including included .tex files, .bib files, packages, and images, to identify project file structure.
    MIT
  • Returns the plain-text body of an email message, converting HTML content to plain text for readability.
    MIT
  • Report exact TeX Live 2025 binaries, versions, and supporting tools to verify your LaTeX build environment before compiling.
    -
  • Resolve TeX package and class filenames using TeX Live kpsewhich to locate files for your LaTeX project.
    -
  • Converts TeX documents into Lean code via Formath JSONL, generating `entities.jsonl` and `lean/src/<module>.lean` files in sibling directories. Streamlines mathematical formalization workflows.
    -
  • Find LaTeX (.tex) files in a specified directory, with options to search subfolders recursively for comprehensive document discovery.
    -
  • List .tex files in an Overleaf project and flag root documents to identify the main file for compilation.
    -
  • Run arbitrary Python code in Isaac Sim for operations not covered by named tools, such as creating Action Graphs, computing IK, or configuring advanced USD properties. Use for custom simulation logic and callbacks.
    MIT
  • Add dedicated operation tools to the current session by name (e.g. pdf_redact, ocr) or use 'all' to enable every tool. Keeps context lean when calling the same operation repeatedly.
    MIT