git clone https://github.com/dakshp26/PDFDashboardWithMCP.git
cd PDFDashboardWithMCP

uv sync

ollama pull qwen2.5:3b       # chat (or another chat model)
ollama pull nomic-embed-text # embeddings
ollama pull glm-ocr          # OCR for scanned PDFs

uv run streamlit run app/main.py

app/
├── main.py                       # Entry point, page navigation
├── app_pages/
│   ├── landing.py                # Home page
│   ├── process_pdf_upload.py     # Upload + pipeline UI
│   ├── pdf_library.py            # Browse uploaded PDFs (read-only viewer)
│   └── process_pdf.py            # Viewer + chat UI
└── process_pdf/
    ├── extract.py                 # PDF → Markdown (pymupdf4llm + GLM-OCR)
    ├── pipeline.py                # Extraction pipeline with live progress
    ├── rag.py                     # Chunking, embeddings, Chroma persistence
    └── agent.py                   # LangChain agent with retriever tool
mcp_server/
└── server.py                     # MCP server (list_documents, get_document)
data/                             # Runtime data (gitignored)
├── process_pdf/                  # Saved PDFs and extracted markdown
└── process_chroma/               # Chroma vector collections (one per PDF)

{
  "mcpServers": {
    "PDFDashboardWithMCP": {
      "command": "uv",
      "args": ["run", "--directory", "/absolute/path/to/PDFDashboardWithMCP", "mcp_server/server.py"]
    }
  }
}

{
  "mcpServers": {
    "PDFDashboardWithMCP": {
      "command": "uv",
      "args": ["run", "--directory", "/absolute/path/to/PDFDashboardWithMCP", "mcp_server/server.py"]
    }
  }
}

{
  "mcpServers": {
    "PDFDashboardWithMCP": {
      "command": "uv",
      "args": ["run", "--directory", "/absolute/path/to/PDFDashboardWithMCP", "mcp_server/server.py"]
    }
  }
}