paperforge-mcp 1.0.1

MCP server: research materials → submission-ready LaTeX papers

PaperForge MCP

An MCP server that turns research materials into venue-styled LaTeX papers. Feed it your slides, PDFs, code repos, notes, and figures -- it produces submission-ready drafts for IEEE, NeurIPS, ACM, ICML, Springer, and more.

Install

pip install paperforge-mcp

Requires Python 3.11+.

Quick start

Add to your MCP client config (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "paperforge": {
      "command": "paperforge-mcp"
    }
  }
}

Then ask your AI assistant to write a paper -- PaperForge handles the rest.

What it does

Research pipeline:

• Ingest PDFs, PowerPoint slides, markdown notes, images, audio/video, and GitHub repos
• Fetch LaTeX templates for 9+ venues (IEEE, NeurIPS, ACM SIGCONF, ICML, ICLR, Springer LNCS, Elsevier)
• Build citation libraries from CrossRef and Semantic Scholar
• Extract and validate algorithms and equations from source materials

Paper generation:

• Generate structured outlines before full drafts
• Produce complete LaTeX papers with proper venue formatting
• Auto-place figures, tables, and citations
• Validate LaTeX syntax, structure, and content quality
• Link every claim back to source evidence for traceability

Publishing:

• Export ready-to-submit ZIP packages
• Publish directly to Overleaf

Tools

Tool	Description
ingest_research_materials	Scan and extract content from PDFs, slides, notes, images, video, GitHub repos
read_github_repository	Clone and analyze a GitHub repository
fetch_journal_template	Download LaTeX template for your target venue
build_citation_library	Fetch references from CrossRef / Semantic Scholar
configure_paper	Set title, authors, venue, and preferences
preview_outline	Generate a structured outline before writing
generate_paper_draft	Create the full paper with all sections
assemble_draft	Compile sections into a complete document
validate_latex	Review and auto-repair LaTeX quality
extract_and_validate_algorithms	Extract algorithms and equations from sources
extract_equations_from_slides	Parse math equations from PPTX slides
generate_table	Create LaTeX tables from CSV data or descriptions
link_claims_to_evidence	Map paper claims to source materials
refine_section	Apply feedback to specific sections
publish_to_overleaf	Package and upload to Overleaf

Cloud tier

For server-side LLM generation, LaTeX compilation, AI-powered repair, and smart citation suggestions, see the cloud tier at paperforge.dev.

License

MIT