README.md

metadata

title: Research Papers Federated Search
emoji: 📚
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 5.50.0
app_file: app.py
pinned: true
license: mit
mcp_server: true
tags:
  - research
  - papers
  - academic-search
  - federated-search
  - mcp
  - mcp-server
  - arxiv
  - pubmed
  - semantic-scholar
  - openalex
  - scholarly
datasets:
  - barissozudogru/openalex-concepts
  - barissozudogru/federated-search-traces

Research Papers Federated Search

What this does

Federated search across four academic sources in a single call:

• arXiv -- Computer science, physics, math, quantitative biology
• PubMed -- Biomedical literature via NCBI E-utilities
• Semantic Scholar -- Cross-disciplinary, includes citation counts
• OpenAlex -- ~250M works with canonical IDs and concept tags

Results are deduplicated by DOI when available, then by (source, source_id) so the same arXiv preprint surfaced through multiple sources collapses to one row.

Cold start

This Space sleeps when idle. First query after a quiet period takes 30-60 seconds for the container to wake up. Subsequent queries are fast.

The full server

This Space demonstrates the core federated search. The complete MCP server has citation graphs, BibTeX export, persistent SQLite cache, topic detection with embeddings, and trend analysis:

pip install git+https://github.com/barissozudogru/deep-research-digest.git

Related

• Source code: https://github.com/barissozudogru/deep-research-digest
• Maintainer: https://bsozudogru.com