Real-time context delivery via Server-Sent Events (SSE)

Manages session state across multi-turn LLM interactions

Supports complex agent workflows (e.g., multi-agent orchestration)

Ensures prompt consistency and relevance

Reduces token bloat by abstracting long-term memory separately

Why Choose MCP-as-a-Service?

Persistent Context Across Interactions

Maintain and reuse session-level context so AI outputs stay relevant, even in long or complex conversations.

Real-Time Communication

With SSE, responses are streamed live — enabling faster and more natural user experiences.

Reduced Repetition & Latency

Eliminate the need to re-send prior messages, reducing both latency and token usage for large models.

Customizable & Scalable

Built on standards like Spring AI, our implementation is flexible enough to plug into any enterprise environment.

Ideal for AI Assistants & Copilots

Enable consistent, context-rich experiences in tools like virtual agents, code copilots, and document summarizers.

Ideal Use Cases

Enterprise LLM copilots

Intelligent document assistants

AI-powered customer support agents

Multi-step AI workflows

Agent orchestration with memory and context