BrandJet AI Launches 'Model Context Protocol'
BrandJet AI, a brand intelligence platform, announced the launch of Artemis, a new Model Context Protocol (MCP) layer. The technology is designed to help go-to-market teams use natural language to execute complex, multi-step workflows with AI.
- The "Model Context Protocol" (MCP) is not proprietary to BrandJet AI; it is an open-source standard introduced by Anthropic in November 2024. The protocol is designed to be a universal connector, likened to a "USB-C port for AI," allowing AI models to securely and uniformly connect with external data sources, tools, and APIs. - Major AI labs including OpenAI and Google DeepMind have adopted the Model Context Protocol to address the challenge of creating custom, one-off integrations for every new data source. MCP aims to solve the "N×M integration problem," where 'N' models and 'M' tools previously required a unique connector for each pair. - The protocol operates on a client-server architecture using JSON-RPC 2.0 messages, enabling AI applications (hosts) to communicate with various external services (servers) to retrieve data or execute tasks. - BrandJet AI, founded in 2025 by Marsad Siddique, is a Seattle-based startup that provides a brand intelligence platform for monitoring sentiment and managing multi-channel outreach. The company's tools track how brands are mentioned across social media and within AI models like ChatGPT and Claude. - The introduction of a "forward-deployed" role, a term popularized by Palantir, signifies a customer-facing engineering position. These engineers embed with clients to design, build, and deploy custom AI solutions, acting as a technical bridge between the customer and the product team to ensure successful integration and adoption.
