DiffusionData, a provider of a secure, real-time data server, is introducing an open source implementation of the Model Context Protocol (MCP) that lets AI assistants interact with Diffusion in real-time—empowering users to explore, create, and configure topics and topic views through natural language, guided by a contextual help system that explains concepts, shows syntax, executes operations, and interprets results.
The MCP Server is the first Agentic AI feature delivered by DiffusionData and can be downloaded here.
The Diffusion MCP Server connects LLM AI assistants, such as Claude, to Diffusion making rich APIs and documentation considerably easier to work with.
According to the company, for Ops teams, it enables conversational operations and monitoring—query sessions, list topics, inspect metrics, create metric collectors on the fly—while enforcing safeguards and providing straightforward setup for local or remote servers.
“The real-time data streaming market is undergoing a fundamental shift, from a technical enabler to a business imperative. In a world increasingly powered by AI and edge intelligence, the ability to process and act on data the moment it’s created is now essential,” said Grethe Brown, CEO of DiffusionData. “AI agents amplify this advantage by continuously learning from real-time signals, automating responses, and turning streams of raw information into actionable insight that drives growth and resilience.”
The Diffusion MCP Server has two distinct use case scenarios. Firstly, as a development tool, it effectively turns an AI assistant into a Diffusion consultant who doesn't just explain things but shows how they work, the company said.
Secondly, it has operations and monitoring capabilities. In Ops, for example, the MCP Server becomes a handy monitoring and diagnostic tool. System administrators and DevOps teams can interact with live Diffusion servers using natural language, analyzing metrics into straightforward questions.
What makes the Diffusion MCP Server genuinely valuable is its contextual help system. The AI assistant doesn't just blindly run commands, it understands how Diffusion works, as well as best practices, and common patterns, the company said.
The MCP Server includes sensible safeguards. For destructive operations such as removing topics, the AI assistant will always show exactly what will be affected and ask for confirmation. It understands the potential impact of broad topic selectors and will steer users toward safer, more specific operations, the company said.
“Ultimately, our goal is to build the real-time nervous system for intelligent enterprises. In a world driven by domain-specific AI models and autonomous agents, continuous, contextual data flow will define the next era of business intelligence, enabling organizations not just to react, but to act instantly,” said Brown.
DiffusionData supplies real-time context with event-driven pub/sub, delta streaming, flow control, and hierarchical topics, reducing payloads and latency while keeping autonomous workflows synchronized with real-world change.
For more information about this news, visit www.diffusiondata.com.