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---
title: MCP Res
emoji: 📊
colorFrom: red
colorTo: gray
sdk: docker
sdk_version: 1.46.0
app_file: app.py
pinned: false
short_description: Research
---
MedGenesis AI 🧬
Unified Biomedical Research Assistant—AI, Literature, Safety & Knowledge Graphs
🚀 Overview
MedGenesis AI is the next-generation biomedical research assistant that unifies PubMed, arXiv, UMLS, OpenFDA, and advanced AI (OpenAI GPT-4o) into one seamless platform.
Discover, synthesize, and visualize research, drugs, concepts, and safety—all in a single app.
Semantic search across top biomedical databases
UMLS concept mapping and standardization
Drug safety insights powered by OpenFDA
AI-powered summaries and follow-up Q&A
Interactive knowledge graph for instant relationship exploration
Export results as PDF or CSV
Workspace to save and revisit your research sessions
✨ Key Features
Unified Search: Find and aggregate results from PubMed and arXiv, ranked by semantic similarity.
Biomedical Concept Augmentation: Map results to UMLS concepts for standardized knowledge.
Drug & Safety Insights: Connect literature with latest FDA safety data.
AI-Powered Synthesis: Summarize, answer questions, and suggest next research steps using GPT-4o.
Knowledge Graph: Visual, interactive network of papers, drugs, and concepts.
Export & Workspace: Download data, save sessions, and organize your findings.
🖥️ Live Demo
Try the app on Hugging Face Spaces
🐳 Docker-Based Deployment
MedGenesis AI uses a Dockerfile for guaranteed reproducibility and robust dependency management.
Run Locally:
bash
Copy code
git clone https://huggingface.co/spaces/MCP_Res
cd YOUR_REPO
docker build -t medgenesis-ai .
docker run -p 7860:7860 medgenesis-ai
Then open http://localhost:7860 in your browser.
On Hugging Face Spaces:
Make sure your Dockerfile, requirements.txt, and app.py are present in your repo root.
Push all code to your Space.
In the Space settings, select "Docker" as the runtime.
Your Space will build and launch automatically.
⚡ Quick Start (Streamlit UI)
Enter a biomedical research question.
Click Run Search to query all sources.
Explore:
Results: Detailed, AI-synthesized findings.
Knowledge Graph: Interactive visualization.
Visualizations: Year histogram and more.
Download results or save to your workspace.
Ask follow-up questions with the integrated AI assistant.
🛠️ Customization
Add new data sources by extending mcp/ utilities.
Update color/theme in .streamlit/config.toml.
Want to run in SDK mode? Simply remove the Dockerfile and deploy with requirements.txt as usual.
Use the built-in workspace to organize your research projects.
🤝 Contributing
Pull requests, bug reports, and feature suggestions are welcome!
For large features, open an issue first to discuss your ideas.
🧑💻 Author
Oluwafemi Idiakhoa
📝 License
MIT License
❤️ Acknowledgments
Hugging Face Spaces
PubMed, arXiv, OpenFDA, UMLS
OpenAI GPT-4o
The open-source biomedical AI community
🔗 Links
MedGenesis AI Space
OpenFDA
UMLS
arXiv
PubMed
Note on Docker
If you’re using Docker, all dependencies (including Jinja2, pyvis) are installed as specified in the Dockerfile and requirements.txt—no extra setup needed.
If deploying with Hugging Face SDK mode, ensure your requirements.txt matches your dependencies. |