MCP Prompts Server

Overview

MCP Prompts is a production-ready server that implements the Model Context Protocol (MCP) to provide intelligent prompt management, template systems, and AI-powered workflows. It supports multiple storage backends including in-memory, file-based, and AWS services (DynamoDB, S3, SQS).

Key Capabilities

• Prompt Management: Create, read, update, delete, and version prompts
• Template System: Variable substitution with type validation
• Search & Discovery: Tag-based filtering and full-text search
• Access Control: Role-based access with subscription tiers
• AWS Integration: Native DynamoDB, S3, and SQS support
• Rate Limiting: Configurable per-user and per-tier limits
• Subscription Management: Stripe integration for payments
• Multi-Mode: Run as MCP server (stdio) or HTTP REST API
• Docker Support: Multiple deployment configurations

Cognitive Architecture 🧠

MCP Prompts implements a seven-layer cognitive architecture that transforms the system into an intelligent development assistant capable of learning from experience and adapting to different domains.

Seven Cognitive Layers

┌─────────────────────────────────────────┐
│ 7. Evaluative    │ Quality Assessment   │
│                  │ Priority Judgment    │
├─────────────────────────────────────────┤
│ 6. Transfer      │ Cross-Domain Analogies│
│                  │ Pattern Abstraction  │
├─────────────────────────────────────────┤
│ 5. Meta-Cognitive│ Strategy Selection   │
│                  │ Self-Awareness       │
├─────────────────────────────────────────┤
│ 4. Procedural    │ Workflows & Techniques│
│                  │ Analysis Procedures  │
├─────────────────────────────────────────┤
│ 3. Semantic      │ Domain Knowledge     │
│                  │ Tool Capabilities    │
├─────────────────────────────────────────┤
│ 2. Episodic      │ Problem-Solving      │
│                  │ Experience Memory    │
├─────────────────────────────────────────┤
│ 1. Perceptual    │ Context Detection    │
│                  │ Goal Identification  │
└─────────────────────────────────────────┘

Intelligent Prompt Management

• Context-Aware: Automatically detects project types and applies relevant knowledge
• Experience Learning: Captures successful problem-solving patterns for reuse
• Cross-Domain Transfer: Applies patterns learned in one domain to others
• Self-Improving: Learns from usage patterns to improve recommendations

FlatBuffers Integration

High-performance binary serialization for cognitive data:

• Zero-copy deserialization for maximum speed
• Schema evolution supporting backward compatibility
• Inter-server communication with minimal overhead
• Embedded optimization for resource-constrained environments

Features

Core Features

• ✅ MCP Protocol Support: Full implementation of MCP 1.18 specification
• 🔧 Multiple Storage Backends: Memory, File System, AWS (DynamoDB/S3)
• 📝 Prompt Templates: Advanced variable substitution and validation
• 🔍 Advanced Search: Category, tag, and content-based search
• 🔒 Security: Helmet, CORS, rate limiting, and authentication
• 📊 **Mon

... View full README on GitHub