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Model Context Protocol (MCP) Server

Model Context Protocol (MCP) Server

What Is an MCP Server?

Model Context Protocol (MCP) Server is a custom service-layer memory engine that enables your AI agents to maintain state, recall past interactions, and reason over long-term context. Unlike stateless LLM calls, MCP-powered systems can "remember" across sessions, users, and tasks.

Key Benefits

memory-chip

Long-Term Memory for AI Agents

Retain conversation and task history across sessions.

Fast Context Retrieval

Optimized for low-latency LLM input injection.

Secure & Isolated Data Handling

Per-user or per-agent memory scopes.

Most Popular Custom AI Solutions

Personalized Conversational Agents

Keep memory of user preferences, past chats, and intent history.

Multi-Step Workflow Execution

Enable AI agents to handle complex sequences with retained context.

Training & Reinforcement Storage

Track learning loops, examples, and corrections over time.

Team/Project Memory Contexts

Let agents switch between user roles or projects with scoped memory.

How It Works

01

Context Storage Engine

Save embeddings, tokens, metadata.

02

Indexing & Retrieval

Embed-based or rule-based lookup options.

03

Context Injection

Serve relevant history to the AI model on each call.

04

Management Interface

View, update, or delete memory per user/session/task.

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