Model Context Protocol (MCP)

3 use cases using this technology

3published use cases

3industries

2countries on record

Agentic AI

top AI capability

Evidence mix: High 3 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

3 use cases

Technology & SoftwareAgentic AIConversational AI

Galene.AI Deploys a Sovereign-by-Design Conversational AI Platform on Scaleway

Galene.AI built a fully sovereign, self-hosted conversational AI platform running on Scaleway's GPU infrastructure, engineered so client data, models, and compliance remain entirely within European jurisdiction. The platform deploys as a private Kubernetes cluster, either on-premise or within a private Scaleway cloud, with all AI inference processed locally on Scaleway GPUs (from 2xL40S to H100-based configurations) rather than through external API calls. Data is encrypted in transit (TLS 1.3) and at rest (AES-256). The platform includes an agentic framework using Model Context Protocol (MCP) to connect private AI agents to internal knowledge bases and enterprise systems (CRMs, ERPs), and a built-in governance layer called Generative Shield that enforces real-time compliance across cybersecurity, ethical/legal, data protection, and output-accuracy dimensions. Scaleway's data centers are located exclusively in the EU (France, Poland, Netherlands), which the companies say eases GDPR data-residency compliance and EU AI Act compliance. Galene.AI's REST API is compatible with OpenAI's API specification.

Galene.AIKubernetes · Model Context Protocol (MCP)

EnergyPredictive AnalyticsAgentic AI

Building the intelligence foundation for the energy transition

BKW, a Switzerland-headquartered energy and infrastructure company, needed a more scalable, integrated approach to working with complex weather and geospatial data to support decisions across energy production, grid management, and infrastructure services as renewable penetration and climate volatility rise. BKW partnered with Microsoft to combine Aurora (an AI weather foundation model from Microsoft Research AI for Science and Microsoft AI Weather), Microsoft Planetary Computer Pro with AI Weather Grid HD EU data catalogs, and Azure-native infrastructure (Azure Container Registry, Azure Container Apps, Azure Application Insights, and an MCP server) into a unified platform for AI-driven weather and geospatial intelligence, with BKW retaining governance over how insights are applied. The collaboration is described as an exploratory, foundation-building engagement rather than a production deployment, giving BKW's data scientists, domain experts, and technology teams a shared, governed platform and supporting its net-zero and sustainable energy goals.

BKW FMB Energie AG· SwitzerlandAurora · Microsoft Planetary Computer Pro · Azure Container Registry +4

Financial ServicesAgentic AI

LSEG unifies 30 data systems, reducing product development time with Fabric

LSEG, a trusted data partner to 44,000 customers in more than 170 countries, partnered with Microsoft to build a unified data platform on Microsoft Fabric, consolidating 30 systems, 1,200 datasets and 33 petabytes of data. Using Apache Spark on Fabric, Apache Airflow in Fabric, Microsoft Purview and OneLake, LSEG reduced product development timelines for new data products from years to months; onboarding data and creating a new product now happens in months, accelerating launches such as its ESG and Fundamentals data products. LSEG processes around 80,000 files daily on Spark on Fabric, consuming approximately 280,000 capacity units per day, with month-on-month consumption growing more than 50%. The company is also building AI-readiness by hosting Model Context Protocol (MCP)-powered data in OneLake and enabling financial professionals to build custom AI agents via Copilot Studio.

LSEG (London Stock Exchange Group)· United KingdomMicrosoft Fabric · Apache Spark · Apache Airflow +4