MCP Server

Dreamdata AI Tackles the Trust Gap in B2B Marketing Analytics

Dreamdata AI Tackles the Trust Gap in B2B Marketing Analytics

Dreamdata has launched Dreamdata AI, a three-product suite featuring an Analytics Agent, MCP Server, and Data Warehouse built on a governed semantic layer. The platform targets a core failure mode in AI-driven marketing analytics: inconsistent, unverifiable outputs that erode confidence in budget allocation decisions. The architecture positions Dreamdata as ambient GTM intelligence inside LLM workflows rather than a standalone application.

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Nutanix MCP Server Brings Agentic AI to Hybrid Cloud Ops

Nutanix MCP Server Brings Agentic AI to Hybrid Cloud Ops

Nutanix has released an open-source MCP server for its Cloud Platform, letting AI agents like GitHub Copilot and Claude Code manage hybrid cloud infrastructure through natural language. The server routes all agent activity through the Prism V4 API Gateway, enforcing existing RBAC and audit controls. ECI Research analysis explains why the governance architecture matters as much as the automation capability.

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Gurobi Intelligence Hub Brings AI Agents to Optimization

Gurobi Intelligence Hub Brings AI Agents to Optimization

Gurobi has launched the Intelligence Hub, a suite of AI-powered agents designed to make mathematical optimization more accessible across the full model lifecycle. The platform includes a Modeler, an Explainer, and a Local MCP server for integration with existing AI development environments. ECI Research examines the strategic implications for enterprise AI teams and multi-agent architectures.

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Cequence Platform 9.0: AI-Native API Security for the Agentic Era

Cequence Platform 9.0: AI-Native API Security for the Agentic Era

Cequence Security has launched Platform 9.0, an AI-native API security release featuring an open MCP server, a built-in AI Assistant, and 250-plus pre-built compliance rules mapped to 25 global frameworks. The release positions Cequence as a composable security capability for agentic enterprise workflows, arriving as AI code governance tops enterprise security investment priorities. ECI Research data shows the compliance and agentic integration gaps this release directly targets.

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Couchbase AI Data Plane: The Data Layer Agentic AI Needs

Couchbase AI Data Plane: The Data Layer Agentic AI Needs

Couchbase has announced general availability of the AI Data Plane, a unified data infrastructure layer that gives enterprise AI agents persistent memory, real-time context retrieval, and governed data access from cloud to edge. The release collapses fragmented vector, caching, and document stores into a single operational platform. ECI Research analyst coverage examines what it means for IT decision-makers and the developers building production agentic systems.

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Snowflake AI Platform: Security, Microsoft & Multimodal

Snowflake AI Platform: Security, Microsoft & Multimodal

Snowflake’s May AI Pulse update brought a wave of generally available releases spanning AI-assisted security remediation, a native Microsoft Copilot Studio integration via MCP, and expanded multimodal AI functions covering video, audio, and large-scale documents. ECI Research breaks down what these announcements mean for enterprise IT leaders and the developers building on the platform. The governance and multimodal stories are the ones to watch.

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Command Zero API & MCP Server: The Agentic SOC Is Here

Command Zero API & MCP Server: The Agentic SOC Is Here

Command Zero has released a public API and MCP server that turn its SOC investigation engine into a callable capability, letting security teams trigger, manage, and close investigations programmatically from within existing SOAR and AI agent workflows. The release reflects a broader market shift toward agentic security operations, where AI handles context-gathering and humans retain decision authority. ECI Research analysts assess the competitive, compliance, and operational implications.

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Chronosphere Pivots from All-in-One to Composable Observability with Partner Ecosystem and AI-Guided Troubleshooting

Chronosphere Pivots from All-in-One to Composable Observability with Partner Ecosystem and AI-Guided Troubleshooting

Chronosphere shifts from all-in-one observability to a composable ecosystem with new ISV partners and AI-Guided Troubleshooting powered by a Temporal Knowledge Graph. The platform now delivers context-aware analysis, natural-language investigations, and MCP integration for AI-enabled developer workflows.

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