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Posted by Phil Alsop on 18 July 2025 at 2:48 pm
  • news

Rackspace Technology’s latest offering, the FAIR™ Model Context Protocol ("MCP") Enterprise Accelerator, is now accessible via the AWS Marketplace under the new 'AI Agents & Tools' category. This strategic move empowers organizations to seamlessly discover, purchase, and deploy cutting-edge AI-driven solutions. Alongside, Rackspace Technology brings its renowned Agentic AI Professional Services to accelerate development workflows and enterprise intelligence utilization.

The FAIR MCP Enterprise Accelerator is designed to enhance MCP deployments with enterprise-grade infrastructure and rigorous security measures. Hosted on Amazon Bedrock, it facilitates the formation of multi-agent architectures that boast capabilities like advanced reasoning, memory retention, secure code interpretation, and multimodal data processing. In essence, these functions achieve an impressive 70+% reduction in legacy application integration for AI agents and expedite their value realization in production environments.

According to Srini Koushik, President of AI and Technology at Rackspace Technology, launching FAIR’s Enterprise Accelerator on AWS Marketplace simplifies customers’ access to skilled AI expertise and motioned agent solutions, enhancing speed and efficiency.

The MCP Enterprise Accelerator brings essential facilities such as pre-configured server templates, a zero-trust architecture, and end-to-end encryption. Further, customers gain advanced observability, monitoring, and compliance tools, which validate consistent performance, error reduction, and enhanced decision-making. These features collectively ensure a speedy realization of returns on AI investments.

The introduction of AI agents and tools in the AWS Marketplace is crucial for organizations seeking to hasten their procurement processes without lengthy vendor evaluations or complex negotiations. The centralized purchasing mechanism via AWS accounts allows businesses sustained control over licensing, payments, and access while driving AI innovation and efficiency.