MCPHackathon
3
This project uses the Unstructured API to create a server that efficiently processes research papers to aid in language model training. It offers tools for extracting, storing, and managing research data, thus streamlining the information retrieval process for researchers.
Unstructured API MCP Server for Research Paper Data Processing
This project leverages the Unstructured API to provide a server that facilitates the extraction of meaningful information from research papers. This data can then be used to fine-tune language models, significantly improving the efficiency of literature reviews for researchers.
Features:
- Setup: Instructions for installing dependencies and setting up environment variables from the Unstructured platform and Google Cloud.
- Project Flow: Detailed interaction between client queries, the UNS_MCP server, and the output storage process for structured data.
- Available Tools: Descriptions of tools like
list_sources,create_gdrive_source, and connectors for MongoDB. - Workflow Integration: Steps to integrate connectors, develop workflows, and set up Claude Desktop integration.
- Debugging: Use MCP Inspector and debugging UI for testing server capabilities.