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Unstructured API MCP Server for Research Paper Data Processing

@HeetVekariya

GitHub repository for Unstructured MCP Hackathon.
Overview

What is MCPHackathon?

MCPHackathon is an Unstructured API MCP Server designed for processing research paper data, enabling researchers to extract meaningful information efficiently.

How to use MCPHackathon?

To use MCPHackathon, set up the required connectors (Google Drive and MongoDB), install dependencies, and run the server to interact with research papers through the API.

Key features of MCPHackathon?

  • Easy access to tools for extracting data from research papers.
  • Integration with Google Drive for PDF retrieval.
  • MongoDB for storing processed data in structured JSON format.
  • Debugging tools for testing and optimizing the server.

Use cases of MCPHackathon?

  1. Automating literature reviews for researchers.
  2. Extracting structured data from academic papers for analysis.
  3. Fine-tuning language models with processed research data.

FAQ from MCPHackathon?

  • What is the purpose of MCPHackathon?

It helps researchers quickly access and process information from research papers, reducing the time spent on literature reviews.

  • Is there a cost to use MCPHackathon?

The project is open-source and free to use.

  • What are the requirements to run MCPHackathon?

You need an Unstructured API key, a Google Drive service account, and a MongoDB connection string.

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