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This release is a pre-release and may not be stable for production use.

📚 Pustaka

MCP server — search thesis full text from 75+ Indonesian university repositories.

Python License: AGPLv3 Universities MCP


Pustaka is an MCP server that searches thesis repositories across 75+ Indonesian universities — PTN, PTS, and Polytechnics — via OAI-PMH harvesting and HTML scraping. It detects which theses are truly full-text (Bab 1 through Daftar Pustaka) by analyzing PDF content directly.

This is a port of pencari-skripsi-indonesia (MIT) by Yingtze — original credit below.


Quick Start

# Install
pip install "pustaka-mcp[pdf]"

# Run (stdio transport)
pustaka

With uvx

uvx pustaka-mcp

Claude Desktop config

{
  "mcpServers": {
    "pustaka": {
      "command": "uvx",
      "args": ["pustaka-mcp"]
    }
  }
}

Tools

Tool Description
search_thesis Search by keyword, filter by university/type/province. Returns results with full/partial/locked status.
list_universities List all supported universities, filter by type (PTN/PTS) or province.
analyze_pdf Deep PDF content analysis — detects chapters inside the document, estimates page count, checks access.
search_and_analyze Combined search + PDF analysis in one call. Slower but returns accurate status immediately.

Resources

  • skripsi://universities — all universities as JSON
  • skripsi://stats — repository statistics

Status Meanings

Status Meaning
FULL Chapters 1, 3, 4, 5 and bibliography detected inside the PDF
🟡 PARTIAL Some chapters found — incomplete or HTML-only detection
🔴 LOCKED PDF exists but requires login/embargo
UNKNOWN Cannot determine automatically

Environment Variables

Variable Default Description
SKRIPSI_DELAY 1.2 Delay between requests (seconds)
SKRIPSI_WORKERS 5 Number of parallel threads
SKRIPSI_NO_CACHE 0 Set to 1 to disable local cache

Requirements

  • Python 3.10+
  • pdfminer.six (optional, for PDF content analysis — recommended)
pip install pustaka-mcp[pdf]

Without pdfminer.six, the server works but uses HTML-only detection (less accurate).


Structure

├── src/pustaka/
│   ├── __init__.py         ← version
│   ├── models.py           ← data models + scoring
│   ├── pdf_analyzer.py     ← PDF content analysis
│   ├── engine.py           ← OAI-PMH + HTML scraping engine
│   └── server.py           ← FastMCP server
├── tests/
│   └── test_mcp.py         ← 35+ unit tests
├── repositories.json       ← 75+ university configs
├── .vscode/
│   └── PORT_FROM_PREVIOUS_REPO.md  ← port notes
├── pyproject.toml
├── LICENSE
└── README.md

Original Work

This project is a port of pencari-skripsi-indonesia by Yingtze, released under the MIT License. The original work provides the core repository configurations, OAI-PMH harvesting logic, HTML parsers, and PDF analysis heuristics that make this possible.

Without Yingtze's groundwork of cataloging 75+ Indonesian university repositories and building the scraping infrastructure, this MCP server would not exist.


License

AGPL-3.0-only — This port. See LICENSE.

The original pencari-skripsi-indonesia is MIT licensed.

Release files for pustaka-mcp 0.1.1b1

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