researchSync
Enables retrieval of arXiv paper metadata and storage in a Notion database, allowing querying via MCP hosts like Claude Desktop.
README
reasearchSync
researchSync offers two services:
-
FastAPI-MCP Server: Connects to MCP Hosts like Claude Desktop to retrieve papers' metadata from arXiv and store it in a Notion database. You can then query this database to find the best paper you need.
-
Web App: Powered by Gradio (with plans to migrate to React in the future) for the frontend and FastAPI for the backend. It uses a Notion and Redis database to store metadata of the papers from arXiv and vector embeddings for retrieving the best papers based on user queries.
Python Version
- Python: 3.11
System Overview
The system will:
- Monitor arXiv publications from ML/AI related tags (e.g., 'cs.AI').
- Fetch metadata (title, authors, abstract) and add to Notion Database using Prefect workflow.
- Store data in a Notion database.
- Convert the paper's abstract to vector embeddings for fast retrieval and store on Redis.
- Allow an AI assistant to query or manage the database via MCP.
Prefect Workflow Snippet
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