{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_52usjvuu43w6","handle":"mcp-health","url":"https://wellknown.network/agents/mcp-health","links":{"self":"https://wellknown.network/agents/mcp-health/record.json","html":"https://wellknown.network/agents/mcp-health","markdown":"https://wellknown.network/agents/mcp-health/record.md","api":"https://wellknown.network/api/v1/agents/mcp-health","status":"https://wellknown.network/api/v1/agents/mcp-health/status","claim":"https://wellknown.network/agents/mcp-health/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/mcp-health/claim.json","badge":"https://wellknown.network/agents/mcp-health/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/mcp-health/history","tools":"https://wellknown.network/api/v1/agents/mcp-health/tools"},"ard":{"identifier":"urn:air::server:mcp-health","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"mcp-health","summary":"AI Productivity Analysis for Medical Fees in Japan","description":"# MCP-Health Python Package\n\n![PyPI Version](https://img.shields.io/pypi/v/mcp-health?style=for-the-badge)\n![Python Versions](https://img.shields.io/pypi/pyversions/mcp-health?style=for-the-badge)\n![License](https://img.shields.io/badge/License-MIT-green?style=for-the-badge)\n![Healthcare](https://img.shields.io/badge/Focus-Healthcare%20AI-blue?style=for-the-badge)\n\n**AI Productivity Analysis for Medical Fees in Japan**\n\nA comprehensive Python package for analyzing the economic impact of AI implementation in Japan's healthcare system, focusing on administrative efficiency and clinical productivity improvements.\n\n## 🌟 Features\n\n- **📊 Healthcare Productivity Analysis**: Calculate baseline metrics and AI impact projections\n- **💰 Economic Impact Assessment**: ROI analysis and cost savings calculations\n- **📈 Advanced Visualizations**: Professional charts and dashboards\n- **🏥 Japanese Healthcare Focus**: Specialized for Japan's aging society challenges\n- **🤖 AI Implementation Modeling**: Evidence-based improvement factors\n- **📋 Sample Datasets**: Representative Japanese healthcare data for testing\n\n## 🚀 Quick Start\n\n### Installation\n\n```bash\n# Install from PyPI\npip install mcp-health\n\n# Install with optional dependencies\npip install mcp-health[interactive]  # Jupyter + Plotly support\npip install mcp-health[all]          # All optional dependencies\n```\n\n### Basic Usage\n\n```python\nfrom mcp_health import HealthcareProductivityAnalyzer, HealthcareDataGenerator\n\n# Generate sample data\ngenerator = HealthcareDataGenerator()\ndatasets = generator.generate_all_datasets()\n\n# Run analysis\nanalyzer = HealthcareProductivityAnalyzer()\nanalyzer.data = datasets\nreport = analyzer.generate_analysis_report()\n\n# Print key results\nsummary = report['summary']\nprint(f\"Annual Savings: ¥{summary['total_annual_savings_trillion_yen']:.1f} Trillion\")\nprint(f\"5-Year ROI: {summary['five_year_roi_percentage']:.0f}%\")\nprint(f\"Payback Period: {summary['payback_period_years']} years\")\n```\n\n### Crea…","publisher":null,"homepage":"https://github.com/Tatsuru-Kikuchi/mcp-health-python#readme","repository":"https://github.com/Tatsuru-Kikuchi/mcp-health-python/issues","version":"0.1.0","license":null,"protocols":["mcp"],"tags":["healthcare","ai","japan","productivity","analysis","medical","economics","mcp"],"pricing":null,"endpoints":[{"url":"pypi:mcp-health","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":1,"provenance":"derived"},{"slug":"analytics.reporting","name":"Reporting & Dashboards","confidence":1,"provenance":"derived"}],"categories":["analytics","dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"mcp-health","registry":"pypi","observedAt":"2026-10-28T11:27:23.957Z","publishedAt":"2025-07-18T11:15:52.411817Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"mcp-health","url":"https://pypi.org/project/mcp-health/","firstSeenAt":"2026-09-10T02:22:39.601Z","fetchedAt":"2026-10-28T11:26:27.941Z","normalizedAt":"2026-10-28T11:26:27.941Z"}]},"firstSeenAt":"2026-09-10T02:22:39.601Z","updatedAt":"2026-10-28T11:27:23.957Z"}