Smart Ai Bridge

Created By

Platano782 months ago

Smart AI Bridge is a production-ready Model Context Protocol (MCP) server that orchestrates AI-powered development operations across multiple backends with automatic failover, smart routing, and advanced error prevention capabilities. Key Features 🤖 Multi-AI Backend Orchestration Pre-configured 4-Backend System: 1 local model + 3 cloud AI backends (fully customizable - bring your own providers) Fully Expandable: Add unlimited backends via EXTENDING.md guide Intelligent Routing: Automatic backend selection based on task complexity and content analysis Health-Aware Failover: Circuit breakers with automatic fallback chains Bring Your Own Models: Configure any AI provider (local models, cloud APIs, custom endpoints) 🎨 Bring Your Own Backends: The system ships with example configuration using local LM Studio and NVIDIA cloud APIs, but supports ANY AI providers - OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, custom APIs, or local models via Ollama/vLLM/etc. See EXTENDING.md for integration guide. 🎯 Advanced Fuzzy Matching Three-Phase Matching: Exact (<5ms) → Fuzzy (<50ms) → Suggestions (<100ms) Error Prevention: 80% reduction in "text not found" errors Levenshtein Distance: Industry-standard similarity calculation Security Hardened: 9.7/10 security score with DoS protection Cross-Platform: Automatic Windows/Unix line ending handling 🛠️ Comprehensive Toolset 19 Total Tools: 9 core tools + 10 intelligent aliases Code Review: AI-powered analysis with security auditing File Operations: Advanced read, edit, write with atomic transactions Multi-Edit: Batch operations with automatic rollback Validation: Pre-flight checks with fuzzy matching support 🔒 Enterprise Security Security Score: 9.7/10 with comprehensive controls DoS Protection: Complexity limits, iteration caps, timeout enforcement Input Validation: Type checking, structure validation, sanitization Metrics Tracking: Operation monitoring and abuse detection Audit Trail: Complete logging with error sanitization 🏆 Production Ready: 100% test coverage, enterprise-grade reliability, MIT licensed 🚀 Multi-Backend Architecture Flexible 4-backend system pre-configured with 1 local + 3 cloud backends for maximum development efficiency. The architecture is fully expandable - see EXTENDING.md for adding additional backends. 🎯 Pre-configured AI Backends The system comes with 4 specialized backends (fully expandable via EXTENDING.md): Cloud Backend 1 - Coding Specialist (Priority 1) Specialization: Advanced coding, debugging, implementation Optimal For: JavaScript, Python, API development, refactoring, game development Routing: Automatic for coding patterns and task_type: 'coding' Example Providers: OpenAI GPT-4, Anthropic Claude, Qwen via NVIDIA API, Codestral, etc. Cloud Backend 2 - Analysis Specialist (Priority 2) Specialization: Mathematical analysis, research, strategy Features: Advanced reasoning capabilities with thinking process Optimal For: Game balance, statistical analysis, strategic planning Routing: Automatic for analysis patterns and math/research tasks Example Providers: DeepSeek via NVIDIA/custom API, Claude Opus, GPT-4 Advanced, etc. Local Backend - Unlimited Tokens (Priority 3) Specialization: Large context processing, unlimited capacity Optimal For: Processing large files (>50KB), extensive documentation, massive codebases Routing: Automatic for large prompts and unlimited token requirements Example Providers: Any local model via LM Studio, Ollama, vLLM - DeepSeek, Llama, Mistral, Qwen, etc. Cloud Backend 3 - General Purpose (Priority 4) Specialization: General-purpose tasks, additional fallback capacity Optimal For: Diverse tasks, backup routing, multi-modal capabilities Routing: Fallback and general-purpose queries Example Providers: Google Gemini, Azure OpenAI, AWS Bedrock, Anthropic Claude, etc. 🎨 Example Configuration: The default setup uses LM Studio (local) + NVIDIA API (cloud), but you can configure ANY providers. See EXTENDING.md for step-by-step instructions on integrating OpenAI, Anthropic, Azure, AWS, or custom APIs. 🧠 Smart Routing Intelligence Advanced content analysis with empirical learning: // Smart Routing Decision Tree if (prompt.length > 50,000) → Local Backend (unlimited capacity) else if (math/analysis patterns detected) → Cloud Backend 2 (analysis specialist) else if (coding patterns detected) → Cloud Backend 1 (coding specialist) else → Default to Cloud Backend 1 (highest priority) Pattern Recognition: Coding Patterns: function|class|debug|implement|javascript|python|api|optimize Math/Analysis Patterns: analyze|calculate|statistics|balance|metrics|research|strategy Large Context: File size >100KB or prompt length >50,000 characters

# smart-ai-bridge

# ai-orchestration

Overview Content Tools Comments

Overview

What is Smart AI Bridge?

Smart AI Bridge is a production-ready Model Context Protocol (MCP) server designed to orchestrate AI-powered development operations across multiple backends, featuring automatic failover, intelligent routing, and advanced error prevention capabilities.

How to use Smart AI Bridge?

To use Smart AI Bridge, install the necessary dependencies, configure your local and cloud AI backends, and run the server using the provided command. You can then send requests to the server for various AI tasks.

Key features of Smart AI Bridge?

Multi-AI backend orchestration with a pre-configured 4-backend system.
Intelligent routing based on task complexity and content analysis.
Advanced fuzzy matching to reduce errors and improve response accuracy.
Comprehensive toolset for file operations, code review, and validation.
High security with a score of 9.7/10, including DoS protection and input validation.

Use cases of Smart AI Bridge?

Automating coding tasks with specialized AI backends.
Performing complex mathematical analysis and research.
Processing large files and extensive documentation efficiently.
Enhancing game development with AI-driven insights and optimizations.

FAQ from Smart AI Bridge?

Can Smart AI Bridge integrate with any AI provider?

Yes! It supports various AI providers including OpenAI, Anthropic, and custom APIs.

Is Smart AI Bridge secure?

Yes! It has a high security score and includes multiple protective measures.

How can I extend the backend capabilities?

You can follow the EXTENDING.md guide to add unlimited backends.

Server Config

{
  "mcpServers": {
    "smart-ai-bridge": {
      "command": "node",
      "args": [
        "smart-ai-bridge.js"
      ],
      "cwd": ".",
      "env": {
        "LOCAL_MODEL_ENDPOINT": "http://localhost:1234/v1",
        "CLOUD_API_KEY_1": "your-cloud-api-key-1",
        "CLOUD_API_KEY_2": "your-cloud-api-key-2",
        "CLOUD_API_KEY_3": "your-cloud-api-key-3"
      }
    }
  }
}

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