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  short_description: Streamlit template space
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  ---
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- # Welcome to Streamlit!
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- Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
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- If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
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- forums](https://discuss.streamlit.io).
 
 
 
 
 
 
 
 
 
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  short_description: Streamlit template space
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+ # AI-Powered Scientific Research Companion
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+ This repository implements an AI-driven research assistant using the Model Context Protocol (MCP). It enables end-to-end capabilities:
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+ - πŸ” **Discovery & Ingestion**: Search journals, preprint servers, and web via MCP servers (e.g. `pskill9/web-search`, `metatool-ai/metatool-app`).
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+ - πŸ““ **Reproducible Notebook**: Retrieve and run code snippets for core experiments via a Python-run MCP server.
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+ - πŸ”— **Knowledge Graph**: Build and visualize relationships (methods, datasets, concepts) via a vector-store MCP (e.g. Chroma).
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+ - πŸ”§ **Provenance Tracking**: Store metadata and run history in a SQL database via MCP.
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+
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+ ## Getting Started
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+ 1. Clone this repo:
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+ ```bash
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+ git clone https://huggingface.co/spaces/your-username/MCP_Research
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+ cd MCP_Research