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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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- π **Discovery & Ingestion**: Search journals, preprint servers, and web via MCP servers (e.g. `pskill9/web-search`, `metatool-ai/metatool-app`).
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- π **Reproducible Notebook**: Retrieve and run code snippets for core experiments via a Python-run MCP server.
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- π **Knowledge Graph**: Build and visualize relationships (methods, datasets, concepts) via a vector-store MCP (e.g. Chroma).
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- π§ **Provenance Tracking**: Store metadata and run history in a SQL database via MCP.
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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
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