README.md

metadata

title: DeepBoner
emoji: 🍆
colorFrom: pink
colorTo: purple
sdk: gradio
sdk_version: 6.0.1
python_version: '3.11'
app_file: src/app.py
pinned: true
license: apache-2.0
short_description: Deep Research Agent for the Strongest Boners 💪🔬
tags:
  - mcp-in-action-track-enterprise
  - mcp-hackathon
  - agents
  - sexual-health
  - reproductive-medicine
  - hormone-therapy
  - wellness-research
  - pydantic-ai
  - llamaindex
  - modal
  - pubmed
  - clinical-trials
  - evidence-based
  - multi-agent

DeepBoner 🍆

"Peer-reviewed boners only. We take evidence-based arousal very seriously." 🔬

AI-Powered Deep Research Agent for Sexual Health

Making the world harder, one PubMed query at a time. 💪

Deep research for sexual wellness, ED treatments, hormone therapy, libido, and reproductive health - for all genders. Because everyone deserves rock-solid scientific evidence for their intimate health questions.

Why DeepBoner?

Sexual health is health. Period. Yet it remains one of the most under-researched and stigmatized areas of medicine. We built DeepBoner to:

• Break the stigma - Ask your embarrassing questions to an AI, not a judgmental search engine
• Get real science - Every answer backed by peer-reviewed research from PubMed & clinical trials
• Cover everyone - ED, libido, hormones, menopause, HSDD, reproductive health - all genders welcome
• Stay current - Access the latest clinical trials and preprints, not decade-old WebMD articles

Features

• 🔍 Multi-Source Deep Search: PubMed, ClinicalTrials.gov, Europe PMC - simultaneously
• 🤖 MCP Integration: Use our tools from Claude Desktop or any MCP client
• 🔒 Modal Sandbox: Secure execution of AI-generated statistical analysis
• 🧠 Smart Evidence Synthesis: LLM-powered judge evaluates and synthesizes findings
• ⚡ Two Modes: Simple (fast) or Advanced (multi-agent deep dive)
• 🆓 Free Tier Available: Works without API keys (HuggingFace Inference)

Example Queries

Ask anything about sexual health. We don't judge. The science does.

• 💊 "What drugs improve female libido post-menopause?"
• 🧪 "Clinical trials for ED alternatives to PDE5 inhibitors?"
• 🔬 "Evidence for testosterone therapy in women with HSDD?"
• ⚠️ "Drug interactions with sildenafil?"
• 📊 "Latest research on flibanserin efficacy?"
• 🩺 "Non-hormonal treatments for vaginal dryness?"
• 💪 "Natural supplements for erectile function - what actually works?"

Quick Start

1. Environment Setup

# Install uv if you haven't already
pip install uv

# Sync dependencies
uv sync

2. Run the UI

# Start the Gradio app
uv run python src/app.py

Open your browser to http://localhost:7860.

3. Connect via MCP

This application exposes a Model Context Protocol (MCP) server, allowing you to use its search tools directly from Claude Desktop or other MCP clients.

MCP Server URL: http://localhost:7860/gradio_api/mcp/

Claude Desktop Configuration: Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "deepboner": {
      "url": "http://localhost:7860/gradio_api/mcp/"
    }
  }
}

Available Tools:

• search_pubmed: Search peer-reviewed biomedical literature.
• search_clinical_trials: Search ClinicalTrials.gov.
• search_europepmc: Search Europe PMC preprints and papers.
• search_all: Search all sources simultaneously.
• analyze_hypothesis: Secure statistical analysis using Modal sandboxes.

Development

Run Tests

uv run pytest

Run Checks

make check

Architecture

DeepBoner uses a Vertical Slice Architecture:

1. Search Slice: Retrieving evidence from PubMed, ClinicalTrials.gov, and Europe PMC.
2. Judge Slice: Evaluating evidence quality using LLMs.
3. Orchestrator Slice: Managing the research loop and UI.

Built with:

• PydanticAI: For robust agent interactions.
• Gradio: For the streaming user interface.
• PubMed, ClinicalTrials.gov, Europe PMC: For biomedical data.
• MCP: For universal tool access.
• Modal: For secure code execution.

Team

Built with love (and rigorous methodology) by The-Obstacle-Is-The-Way

Hackathon

MCP 1st Birthday Hackathon - Track 2: MCP in Action (Enterprise)

We believe sexual health research deserves the same AI-powered tooling as every other medical domain. This is our contribution to normalizing conversations about intimate health through technology.

Disclaimer

⚠️ This is a research tool, not medical advice. Always consult a healthcare provider for personal medical decisions. We search the literature - we don't replace your doctor.

Links

• 🔗 GitHub Repository
• 🐦 Launch Tweet
• 🤗 HuggingFace Space

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"The science is rock solid." 🪨