MCP Still Has to Prove Its AI Value
A year after questioning MCP's value for AI agents, we still see a useful host adapter surrounded by claims the evidence does not support.
Engineering insights and perspectives from the Mayura team.
A year after questioning MCP's value for AI agents, we still see a useful host adapter surrounded by claims the evidence does not support.
Filtering noise was a tooling problem, and AI largely solved it. Triaging endless signal is a judgment problem. Why the overload inverted, and what to do.
Companies holding sensitive data should own the data, the hardware, and the economics behind their AI: the thesis behind Mayura and its three pillars.
Mayura's Continuous Intelligence is AI you configure once. It keeps reading the sources you chose and surfacing what needs your judgment, all day.
We built a full cloud AI platform, then moved it onto customer hardware. Why the cloud model is the wrong fit for data-sensitive mid-market AI.
SOC 2 and VPC deployments answer a narrower question than buyers think. A four-level spectrum for evaluating AI data sovereignty honestly.
Our look ahead at 2026: local AI models, edge-first AI infrastructure, and intelligence that mid-market companies can actually own.
Six months of hands-on AI consulting surfaced one insight worth building on: the companies we worked with wanted to own the AI infrastructure they run on.
Every AI token sent to the cloud has a compounding cost: API fees, data exposure, vendor dependency, and unpredictable bills. Mid-market gets squeezed.

Open-weight local AI models are now a serious option for business workflows: what benchmarks show, where cloud still wins, and how the cost curves differ.
AI agents already use APIs, CLIs, and documentation. Before adopting MCP, we want a clear answer to one question: what problem does it solve?
Mid-market companies get scaled-down enterprise AI or consumer chatbots. Neither fits the gap between them, and closing that gap is why Mayura exists.
Introducing Mayura: AI infrastructure built for mid-market companies that need intelligence running on hardware they own.