{"_id":"@csgaglobal/ai-economy-infrastructure","name":"@csgaglobal/ai-economy-infrastructure","dist-tags":{"latest":"1.0.0"},"versions":{"1.0.0":{"name":"@csgaglobal/ai-economy-infrastructure","version":"1.0.0","description":"Unified AI Economy Infrastructure — the brain of the CSOAI ecosystem. 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Aggregates 10 specialist MCP servers covering governance, certification, cybersecurity, verification, education, quantum security, defence, pharma, and mentoring.","homepage":"https://csga-global.org","keywords":["mcp","ai-governance","ai-safety","compliance","certification","cybersecurity","quantum-security","ecosystem","orchestration"],"repository":{"type":"git","url":"git+https://github.com/csga-global/mcp-servers.git","directory":"packages/ai-economy-infrastructure"},"author":{"name":"CSGA Global — Cyber Security Global Alliance"},"bugs":{"url":"https://github.com/csga-global/mcp-servers/issues"},"license":"CC0-1.0","readme":"# AI Economy Infrastructure MCP\n\nThe unified orchestration layer for the entire CSOAI ecosystem. This is the master META MCP server that sits on top of all 10 specialist MCP servers, providing cross-ecosystem intelligence, routing, aggregation, and unified governance capabilities.\n\n## Overview\n\nThe AI Economy Infrastructure MCP serves as the \"brain\" of the CSOAI ecosystem, coordinating across 10 specialist servers to provide:\n\n- **Intelligent Routing**: Query-aware routing to the most relevant specialist MCPs\n- **Unified Governance**: Combined AI governance and risk assessment across frameworks\n- **Sector Compliance**: Sector-specific compliance packages and roadmaps\n- **Cross-Ecosystem Intelligence**: Aggregated metrics, trust scoring, and analytics\n- **Education Integration**: Learning pathways feeding into OneOS MOOC platform\n- **Incident Coordination**: Multi-domain incident response with specialist coordination\n- **Certification Bundling**: Unified certification pathways with single point of contact\n\n## Architecture\n\n```\n┌─────────────────────────────────────────────────────────────────┐\n│           AI Economy Infrastructure MCP (Master)                │\n│                                                                  │\n│  10 Tools + 4 Resources + Intelligent Orchestration             │\n└────────────┬────────────────────────────────────────────────────┘\n             │\n    ┌────────┴────────┬──────────┬──────────┬──────────┬──────────┐\n    │                 │          │          │          │          │\n┌───▼──┐  ┌────────┐  │  ┌─────┐│ ┌──────┐ │┌──────┐ │┌───────┐│\n│CSOAI │  │ CASA   │  │  │CSGA ││ │Quantra││PROOFOF ││BMCC   ││\n│ Gvn  │  │Cert    │  │  │Cyber││ │Quantum││Verif  ││Cyber  ││\n└──────┘  └────────┘  │  └─────┘│ └──────┘ │└──────┘ │└───────┘│\n    │         │       │    │     │    │    │    │    │    │\n    │         │       │    │     │    │    │    │    │    │\n┌───▼──┐  ┌──▼────┐  │  ┌──▼───┐│ ┌──▼───┐│┌──▼──┐ ││\n│OneOS │  │K.A.T.A│  │  │CSO   ││ │DAO   │││    ││\n│MOOC  │  │Belts  │  │  │Pharma││ │Defence│││    ││\n└──────┘  └───────┘  │  └──────┘│ └──────┘│└────┘ ││\n                     │          │          │        │\n                     └──────────┴──────────┴────────┘\n```\n\n## 10 Core Tools\n\n### 1. **ai_economy_router**\nIntelligent request routing to specialist MCPs based on natural language queries.\n\n**Input:**\n```json\n{\n  \"query\": \"What's my governance compliance status?\",\n  \"context\": {\"sector\": \"aifinance\", \"organization_id\": \"org_123\"}\n}\n```\n\n**Output:**\n- Primary recommended MCPs with reasoning\n- Secondary MCPs for cross-domain queries\n- Recommended execution sequence\n- Aggregation strategy (parallel/sequential/hierarchical)\n- Expected outputs from each MCP\n\n---\n\n### 2. **ai_governance_assess**\nUnified AI governance assessment combining CSOAI frameworks and CASA certification.\n\n**Input:**\n```json\n{\n  \"ai_system_description\": \"ML-based credit scoring system for financial lending\",\n  \"sector\": \"aifinance\",\n  \"jurisdiction\": \"EU\",\n  \"deployment_type\": \"cloud\"\n}\n```\n\n**Output:**\n- Risk classification (critical/high/medium/low/minimal)\n- Applicable crosswalks (AI Act, GDPR-AI, CEP, etc.)\n- CASA tier recommendation (1-5)\n- Compliance gaps with severity levels\n- Certification pathway with timeline\n- Cost estimate (USD)\n\n---\n\n### 3. **ai_sector_compliance**\nSector-branded compliance packages for 8 supported sectors.\n\n**Supported Sectors:**\n- `aigovernance` - Core AI governance\n- `aifinance` - Financial services AI\n- `aiinsurance` - Insurance and risk\n- `aihealthcare` - Healthcare/pharma\n- `aidefence` - Defence/military\n- `aieducation` - Education\n- `aimanufacturing` - Manufacturing/industrial\n- `aienergy` - Energy and utilities\n\n**Input:**\n```json\n{\n  \"sector\": \"aihealthcare\",\n  \"organization_size\": \"large\",\n  \"current_compliance\": [\"HIPAA\", \"FDA CFR Part 11\"],\n  \"jurisdiction\": \"US\"\n}\n```\n\n**Output:**\n- Compliance bundle ID\n- Required standards list\n- Applicable certifications with timelines and costs\n- Sector-specific requirements with deadlines\n- Phased compliance roadmap\n\n---\n\n### 4. **ai_economy_dashboard**\nReal-time cross-ecosystem analytics and intelligence.\n\n**Input:**\n```json\n{\n  \"organization_id\": \"org_456\",\n  \"date_range\": {\n    \"start_date\": \"2026-01-01T00:00:00Z\",\n    \"end_date\": \"2026-02-25T23:59:59Z\"\n  },\n  \"metrics\": [\"compliance\", \"security\", \"learning\"]\n}\n```\n\n**Output:**\n- Cross-ecosystem usage metrics (per MCP)\n- Compliance posture score (0-100)\n- Learning progress percentage\n- Security status (secure/at_risk/critical)\n- PQC readiness score\n- Prioritized recommended actions\n\n---\n\n### 5. **ai_trust_score**\nUnified AI trust scoring from all ecosystem signals.\n\n**Input:**\n```json\n{\n  \"ai_system_name\": \"AdvancedLenderAI\",\n  \"organization\": \"FinTech Corp\",\n  \"deployment_context\": \"CASA Tier 3, cloud deployment, encryption enabled\"\n}\n```\n\n**Output:**\n- Composite trust score (0-100)\n- Governance compliance score\n- Security posture score\n- PQC readiness score\n- Verification status (verified/pending/unverified)\n- Training completion percentage\n- Risk flags and recommendations\n\n---\n\n### 6. **ai_learning_pathway**\nPersonalized cross-ecosystem learning recommendations.\n\n**Input:**\n```json\n{\n  \"role\": \"AI Governance Lead\",\n  \"skill_gaps_identified\": [\"advanced governance\", \"CASA Tier 4\", \"quantum threats\"],\n  \"sector\": \"aifinance\",\n  \"career_goals\": \"CASA certification lead within 12 months\"\n}\n```\n\n**Output:**\n- Personalized learning pathway ID\n- Recommended courses (OneOS MOOC, BMCC Cyber, CSGA, etc.)\n- K.A.T.A. belt progression plan\n- CASA certification prep track\n- OneOS enrollment hooks for auto-enrollment and tracking\n\n---\n\n### 7. **ai_data_pipeline**\nData collection configuration for MOOC and analytics integration.\n\n**Input:**\n```json\n{\n  \"data_sources\": [\"csoai-governance\", \"casa-certification\", \"bmcc-cyber\"],\n  \"metrics_wanted\": [\"assessments\", \"certifications\", \"training_completions\"],\n  \"aggregation_period\": \"daily\"\n}\n```\n\n**Output:**\n- Pipeline configuration with source specifications\n- Collection status (active/configured/error)\n- Aggregated insights from all data sources\n- MOOC integration configuration and sync status\n\n---\n\n### 8. **ai_market_intelligence**\nCross-ecosystem market analysis and opportunity assessment.\n\n**Input:**\n```json\n{\n  \"sector\": \"aihealthcare\",\n  \"geography\": \"EU\",\n  \"time_horizon\": \"3years\"\n}\n```\n\n**Output:**\n- Market size (USD millions)\n- Market growth rate (%)\n- Regulatory landscape by jurisdiction\n- Competitor activity and threat levels\n- Opportunity assessment with market sizes\n- Recommended CSOAI services\n\n---\n\n### 9. **ai_incident_command**\nCoordinated incident response across specialist MCPs.\n\n**Supported Incident Types:**\n- `cyber` - Cybersecurity breaches\n- `ai_safety` - AI system safety failures\n- `compliance` - Regulatory/compliance violations\n- `quantum_threat` - Quantum computing threats\n- `multi_domain` - Cross-domain incidents\n\n**Input:**\n```json\n{\n  \"incident_type\": \"cyber\",\n  \"severity\": \"critical\",\n  \"affected_systems\": [\"credit_scoring_ai\", \"fraud_detection_ai\"],\n  \"description\": \"Unauthorized access detected on production ML models...\"\n}\n```\n\n**Output:**\n- Incident ID and unified response plan\n- Coordinated actions across MCPs\n- Phase-by-phase action items with timelines\n- Escalation path by severity\n- Communication protocol\n\n---\n\n### 10. **ai_certification_bundle**\nMulti-certification pathway bundling CASA, K.A.T.A., CSR5, and PQC.\n\n**Input:**\n```json\n{\n  \"organization_profile\": {\n    \"name\": \"RegulatedAI Inc\",\n    \"sector\": \"aifinance\",\n    \"size\": \"large\",\n    \"jurisdiction\": \"US\"\n  },\n  \"target_certifications\": [\"CASA Tier 4\", \"CSGA Level 2\", \"PQC Readiness\"],\n  \"timeline_months\": 18\n}\n```\n\n**Output:**\n- Bundle ID with all certifications\n- Unified timeline (months)\n- Critical path with phase-by-phase breakdown\n- Single point of contact info\n- Combined pricing with bundle discount\n- Payment terms\n\n## 4 Core Resources\n\n### 1. **ai-economy://ecosystem**\nComplete ecosystem topology and cross-integration mapping.\n\n**Includes:**\n- All 10 specialist MCP registries\n- Capabilities per MCP\n- Sector coverage\n- Cross-ecosystem routing map\n- Data integration points\n\n### 2. **ai-economy://sectors**\nSupported sectors and compliance frameworks.\n\n**Includes:**\n- 8 supported sectors\n- MCPs per sector\n- Jurisdiction-specific crosswalks\n- Sector requirements\n\n### 3. **ai-economy://trust-framework**\nAI trust scoring methodology and interpretation.\n\n**Includes:**\n- Scoring dimensions and weights\n- Score range interpretations\n- Risk level classifications\n- Sub-criteria definitions\n\n### 4. **ai-economy://data-schema**\nData collection schema for OneOS MOOC integration.\n\n**Includes:**\n- Collections and field definitions\n- MOOC enrollment schema\n- Progress tracking schema\n- Assessment schema\n\n## Setup & Installation\n\n### Prerequisites\n- Node.js 18+\n- npm or yarn\n\n### Install\n\n```bash\ncd /sessions/brave-adoring-cerf/mcp-servers/ai-economy-infrastructure\nnpm install\n```\n\n### Build\n\n```bash\nnpm run build\n```\n\n### Run\n\n```bash\nnpm run dev\n```\n\nOr in production:\n\n```bash\nnpm start\n```\n\n## Development\n\n### Type Checking\n```bash\nnpm run lint\n```\n\n### Clean Build\n```bash\nnpm run clean && npm run build\n```\n\n## Architecture Principles\n\n### 1. **Non-Replacing Orchestration**\nThis MCP does NOT replace the 10 specialist servers. Instead, it:\n- Knows which specialist to call for which queries\n- Aggregates results when multiple specialists are needed\n- Provides unified interfaces over specialist capabilities\n\n### 2. **Intelligent Routing**\nRouter uses:\n- Natural language query analysis\n- Keyword-based specialist matching\n- Sector and context-aware selection\n- Graph-based cross-ecosystem mapping\n\n### 3. **Data Integration Hub**\nActs as central nervous system:\n- Collects data from all 10 specialists\n- Aggregates into ecosystem dashboards\n- Feeds OneOS MOOC with enrollment/progress data\n- Maintains cross-ecosystem data schemas\n\n### 4. **Single Point of Contact**\nFor organizations:\n- One unified interface for entire ecosystem\n- One certification pathway coordinator\n- One incident response coordinator\n- Unified billing and contracts\n\n## Usage Examples\n\n### Example 1: Unified Governance Assessment\n```bash\ncurl -X POST http://localhost:3000/tools/ai_governance_assess \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"ai_system_description\": \"Autonomous vehicle decision-making system\",\n    \"sector\": \"aimanufacturing\",\n    \"jurisdiction\": \"EU\",\n    \"deployment_type\": \"edge\"\n  }'\n```\n\n### Example 2: Intelligent Routing\n```bash\ncurl -X POST http://localhost:3000/tools/ai_economy_router \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"query\": \"What cybersecurity threats do we face with quantum computing?\",\n    \"context\": {\"sector\": \"aifinance\"}\n  }'\n```\n\n### Example 3: Multi-Certification Bundle\n```bash\ncurl -X POST http://localhost:3000/tools/ai_certification_bundle \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"organization_profile\": {\n      \"name\": \"Healthcare AI Solutions\",\n      \"sector\": \"aihealthcare\",\n      \"size\": \"enterprise\",\n      \"jurisdiction\": \"US\"\n    },\n    \"target_certifications\": [\"CASA Tier 4\", \"CSO Pharma-AI\", \"PQC Readiness\"],\n    \"timeline_months\": 24\n  }'\n```\n\n## Ecosystem Integration Points\n\n### CSOAI Governance ↔ CASA Certification\n- Risk assessments inform tier recommendations\n- Tier progression drives governance reassessment\n\n### CSGA Cybersecurity ↔ QuantraNet\n- Security assessments identify crypto weaknesses\n- PQC readiness feeds into security strategy\n\n### BMCC Cyber ↔ OneOS MOOC\n- Training enrollment syncs to MOOC\n- Completion tracking flows back to BMCC\n- K.A.T.A. belts grant course prerequisite wavers\n\n### PROOFOF ↔ All MCPs\n- Content verification ensures data integrity\n- Provenance chains track compliance documentation\n\n### CSO Pharma ↔ CSOAI + CASA\n- Healthcare regulations mapped to governance frameworks\n- Clinical validation requirements inform tier assessment\n\n### DAO Defence ↔ CSGA + Quantra\n- Defence regulations drive security requirements\n- Quantum threat assessment mandatory for classified systems\n\n## Key Metrics\n\nThe ecosystem tracks:\n- **Compliance Posture Score**: 0-100 aggregate\n- **Learning Progress**: Percentage across MOOC/K.A.T.A.\n- **Trust Score**: Composite from 5 dimensions\n- **Security Status**: Secure/At-Risk/Critical\n- **PQC Readiness**: 0-100 percent\n- **Certification Pipeline**: Tier progression tracking\n\n## Data Privacy & Security\n\n- All organization data encrypted in transit and at rest\n- No PII stored without explicit consent\n- Data isolation between organizations\n- Audit trails for all governance decisions\n- GDPR, HIPAA, and sector compliance built-in\n\n## Support & Maintenance\n\n- Server version: 1.0.0\n- License: CC0-1.0\n- Author: CSOAI — Council for the Safety of Artificial Intelligence\n- Homepage: https://csoai.org\n\n## Contributing\n\nThis is the master orchestration layer. Contributions should focus on:\n- Router algorithm improvements\n- New aggregation strategies\n- Cross-ecosystem route optimizations\n- Additional resource schemas\n\nSpecialist MCP enhancements should be contributed to the respective specialist repositories.\n\n---\n\n**This is the crown jewel of the CSOAI ecosystem.** It represents the unified intelligence layer that makes governance, compliance, certification, education, and security a coordinated, enterprise-scale operation across all AI governance domains.\n","readmeFilename":"README.md","_rev":"1-6d0d991ead5ca9c4ae33f690e4c95f3a"}