Algorithm & PDF Server

Example Use Cases

• 1

  Ingest a codebase (C++/Python) and produce annotated Markdown analyses and algorithm documentation automatically.

• 2

  Convert PDF research papers or reports into editable Markdown and then into DOCX using pandoc or a cloud conversion API.

• 3

  Run LLM analysis (e.g., prompt-based review) on code or document content and persist the LLM outputs to a specified output directory.

Description

This repository provides two related MCP server components (AlgoMD and PhyGen) that automate converting code and PDF inputs into Markdown and DOCX outputs and saving LLM analysis results. It uses uv/uvicorn, an MCP framework, httpx and optional pandoc or cloud conversion endpoints to perform PDF-to-Markdown and Markdown-to-DOCX conversion. The servers support reading code files, invoking LLMs (examples reference Claude), and saving produced content to output directories to streamline documentation and report workflows.