Jarvis + MCP: More Relevant Context, Smarter Answers
This video introduces MCP server integration in Jarvis. The Model Context Protocol, proposed by Anthropic, is a specialized backend that gives LLMs access to domain-specific knowledge — such as AWS architecture, internal company policies, or pricing rules — to produce answers that are not just smart but accurate for your business context. Jarvis connects to any MCP server through a single click in the toolbar.
The demo compares Jarvis responses with and without the AWS knowledge-based MCP server active. Without MCP, a question about estimating monthly costs for a Kubernetes architecture using EKS, RDS, and S3 returns a generic LLM response. With the MCP server enabled, Jarvis pulls directly from AWS documentation, delivers authoritative pricing calculator details, and captures newer features like EKS auto mode that the pre-trained response misses.
Jarvis is not limited to the AWS knowledge MCP server. It can connect to any MCP server implementation — whether internal systems like Slack, Salesforce, or QuickBooks, or external tools like Mailchimp and Twilio. By routing queries through the right MCP server, teams bring their own trusted context to every conversation and get answers grounded in current, organization-specific data rather than static pre-trained knowledge.
The video explains MCP (Model Context Protocol), a specialized backend proposed by Anthropic that provides domain-specific knowledge to LLMs. Think of it as an AI plugin that gives models like Anthropic, Amazon Bedrock, or OpenAI access to trusted, context-specific information such as AWS architecture or internal company policies.
Jarvis can connect to any MCP server. The demo uses the AWS knowledge-based MCP server to show the difference it makes. First, a complex question about estimating monthly AWS costs for a Kubernetes microservices architecture with EKS, RDS, and S3 is asked without MCP.
Activating the AWS knowledge MCP server takes one click in the bottom toolbar. The same cost-estimation question is asked again to produce a direct side-by-side comparison between the generic LLM response and the MCP-grounded response.
The MCP response pulls directly from AWS documentation rather than pre-trained data, provides authoritative AWS pricing calculator details from official resources, and captures newer features like EKS auto mode and updated pricing that the generic response misses entirely.
Jarvis supports any MCP server implementation — internal systems like Slack, Salesforce, and QuickBooks, or external SaaS tools like Mailchimp and Twilio. Teams can bring their own trusted context to every Jarvis query without being limited to a single knowledge source.
