A
licenseNot graded
qualityB
maintenanceMCP server for compliance automation of AI agents, enabling EU AI Act compliance, verifiable credentials, and decentralized identity management with 47 tools across 9 modules.
80 PyPI
668
Apache 2.0
ai-economy-infrastructure
by CSOAI-ORG
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ai-economy-infrastructure check my model for EU AI Act compliance"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Ai Economy Infrastructure
MEOK AI Labs — ai-economy-infrastructure MCP Server
MEOK AI Labs — ai-economy-infrastructure MCP Server
🚀 Quick Start
# Install via pip
pip install ai_economy_infrastructure
# Or install via Smithery
npx -y @smithery/cli@latest install ai-economy-infrastructure --client claudeRelated MCP server: telecom-ai
✨ Features
MCP protocol compliant
Easy installation
Well-documented API
Production-ready
Active maintenance
📖 Documentation
🛡️ Compliance
This MCP server is built with EU AI Act compliance built-in:
✅ Article 9 — Risk Management System
✅ Article 13 — Transparency & Instructions for Use
✅ Article 15 — Bias Detection & Testing
✅ Article 26 — FRIA Support (where applicable)
✅ Article 50 — AI Content Watermarking (where applicable)
Need help getting compliant? Book a free 15-min diagnostic →
🏢 Enterprise
Need custom development, SLA guarantees, or white-label deployment?
Pro: $99/mo — Full MCP suite + EU AI Act tracking
Enterprise: $499/mo — Custom dev + SLA + Dedicated support
View Pricing → | Contact Sales →
🤝 Part of the MEOK Ecosystem
This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.
Domain | Purpose |
EU AI Act compliance marketplace | |
AI safety & monitoring | |
Sovereign AI platform | |
Legacy modernization |
📜 License
MIT © CSOAI-ORG
Available Tools
10 toolsai_certification_bundleC
Multi-certification pathway across ecosystem. Bundles CASA + CSR5 + K.A.T.A. + PQC assessment with unified timeline, single point of contact, and combined pricing.
Inputs: timeline_months (required), organization_profile (required), target_certifications (required).
ai_data_pipelineB
Data collection configuration for MOOC/analytics integration. Configures data pipelines across MCPs, provides aggregated insights, and enables OneOS integration.
Inputs: data_sources (required), metrics_wanted (required), aggregation_period (required).
ai_economy_dashboardA
Cross-ecosystem analytics and intelligence dashboard. Returns usage metrics across all 10 MCPs, compliance posture score, learning progress, security status, PQC readiness, and recommended actions.
Inputs: metrics (required), date_range (required), organization_id (required).
ai_economy_routerA
Intelligent routing to the right specialist MCP server(s) based on natural language query. Routes to best MCP, returns aggregated results from multiple servers if needed.
Inputs: query (required), context.
ai_governance_assessB
Unified AI governance assessment combining CSOAI governance and CASA certification frameworks. Provides risk classification, applicable crosswalks, CASA tier recommendation, compliance gaps, certification pathway, and cost/timeline estimates.
Inputs: sector (required), jurisdiction (required), deployment_type (required), ai_system_description (required), +1 more.
ai_incident_commandA
Cross-ecosystem incident response coordination. Coordinates response across CSGA, CSOAI, QuantraNet, and PROOFOF. Handles cyber, AI safety, compliance, and quantum threats.
Inputs: severity (required), description (required), incident_type (required), affected_systems (required), +1 more.
ai_learning_pathwayB
Cross-ecosystem learning recommendations feeding into OneOS MOOC. Provides personalized learning pathway across BMCC Cyber, CSGA training, OneOS courses, K.A.T.A. belts, and CASA certification prep.
Inputs: role (required), sector (required), career_goals (required), skill_gaps_identified (required).
ai_market_intelligenceA
Cross-ecosystem market intelligence and opportunity assessment. Analyzes market size, regulatory landscape, competitor activity, and recommends CSOAI services.
Inputs: sector (required), geography (required), time_horizon (required).
ai_sector_complianceB
Sector-branded compliance packages pulling from relevant crosswalks, standards, and certifications. Provides tailored compliance bundles for specific sectors (finance, healthcare, defence, etc.)
Inputs: sector (required), jurisdiction (required), organization_size (required), current_compliance (required).
ai_trust_scoreA
Unified AI trust scoring combining all ecosystem signals. Composite score (0-100) from governance compliance, security posture, PQC readiness, content verification status, and training completion.
Inputs: organization (required), ai_system_name (required), deployment_context (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
A3.5/5.0
Scored across 10 tools
Disambiguation4/5
Each tool targets a distinct functional area such as routing, governance, compliance, analytics, learning, data, market intelligence, incident response, certification, and trust scoring. However, some overlap exists between ai_governance_assess and ai_sector_compliance, and between ai_certification_bundle and ai_learning_pathway, though descriptions help clarify their differences.
Naming Consistency4/5
All tools use a snake_case naming convention with an 'ai_' prefix, which is predictable and consistent. The pattern is mostly noun-based descriptors, with 'ai_governance_assess' being the only tool that mixes in a verb, creating a minor deviation.
Tool Count5/5
The 10 tools are well-scoped for a server that provides a comprehensive overview of an AI economy ecosystem, covering multiple strategic aspects. This fits comfortably within the ideal 3-15 range, with each tool earning its place.
Completeness4/5
The tool set covers the major facets of an AI economy infrastructure, including routing, governance, compliance, analytics, learning, data integration, market intelligence, incident response, certification, and trust scoring. Minor gaps exist, such as a dedicated user management or policy tool, but these are not core to the server's evident purpose.
Maintenance
ActivityStale
ResponsivenessNo recent community issues
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