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MCP
Model Context Protocol (MCP) is an open standard that enables AI models to connect securely with external data sources and tools. Developed by Anthropic, MCP provides a universal interface for AI applications to access business systems, databases, and APIs.
Usage context
This term is used across 0 Marshall Tech knowledge surfaces. Use the related resources below to move from the definition into proof, implementation detail, and commercial context.
Related resources
See this term used in guides, case studies, services, and decision support.
Insight
MCP Explained: What Model Context Protocol Means for Your Business
Model Context Protocol (MCP) is an open standard that lets AI agents connect to external tools, databases, and APIs through a universal interface. Think of it as USB for AI: one protocol, any tool, any model. MCP eliminates vendor lock-in and enables businesses to build tool integrations once and use them across any AI platform.
Updated 10 Aug 2026
Open resourceExpert insight
On Model Context Protocol adoption
MCP is USB for AI. You build your tool integration once as an MCP server, and any compatible agent can use it. No more rebuilding integrations every time you switch AI providers.
Updated 8 Feb 2026
Open resourceService
AI consulting in Sydney
Marshall Tech works as an AI consultant in Sydney for small and growing businesses that want practical AI tied to operations. We assess readiness, select the right use case, build the workflow, and add guardrails so AI systems are reliable, measurable, and usable in production.
Updated 9 Apr 2026
Open resourceCase study
SportsBlock: Custom Platform Build & AI Integration
SportsBlock needed a fan engagement platform that could handle real-time sports data, AI-curated content, and social features at scale. Marshall Tech delivered the MVP in 6 weeks with a custom backend and Next.js frontend, then scaled to 50k+ monthly active users, all running on under $500/month in infrastructure.
Updated 26 Feb 2026
Open resourceExpert
Nick Hugh
Nick Hugh, Principal AI Engineer & Fractional CTO at Marshall Tech, Sydney
Updated 10 Aug 2026
Open resourceInsight
AI Agents Explained: What Australian Businesses Need to Know in 2026
AI agents are software systems that can plan, reason, and take actions to accomplish goals with minimal human supervision. Unlike chatbots, agents can use tools, access databases, call APIs, and chain multiple steps together. In 2026, they deliver real ROI in customer support, data processing, content workflows, and internal knowledge management.
Updated 10 Aug 2026
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