ii-agent-mcp-universal

II-Agent MCP Universal Connector

This repository contains the prototype for the Universal Dynamic Connector for II-Agent, which builds upon the MVP to create a fully dynamic tool using Crawl4AI for config discovery and local model support.

Long-Term Vision

The Universal Dynamic Connector aims to:

1. Auto-discover API configs and rate limits using Crawl4AI
2. Install and configure any local model (e.g., Mistral, LLaMA via Hugging Face)
3. Dynamically adjust routing based on user-selected APIs and local models
4. Add persistent memory ("Borg Memory") across providers and II-Agent tasks
5. Include a WebUI for user configuration and monitoring
6. Enable scalability (e.g., load balancing, Hetzner instance support)
7. Package as a pip-installable module with extensible plugin architecture

Project Status

This repository is currently in the planning and prototype phase. The MVP implementation is available at ii-agent-mcp-mvp.

Planned Features

Crawl4AI Integration

• Scrape API documentation to auto-detect endpoints, rate limits, and models
• Generate provider configurations dynamically
• Update configurations as APIs evolve

Local Model Support

• Install and configure local models via Hugging Face
• Optimize for different hardware configurations
• Support for quantization and efficient inference

Dynamic Routing

• Smart load balancing between cloud APIs and local models
• Cost optimization strategies
• Fallback based on availability, performance, and cost

Persistent Memory

• Cross-provider memory persistence
• Task context preservation across II-Agent sessions
• Memory optimization and pruning strategies

WebUI

• Configuration dashboard
• Performance monitoring
• Cost tracking and optimization suggestions

Development Timeline

1. Phase 1: MVP (Complete) - Basic multi-provider support with fallback
2. Phase 2: Crawl4AI Integration - Auto-discovery of API configurations
3. Phase 3: Local Model Support - Integration with Hugging Face models
4. Phase 4: Persistent Memory - Implementation of "Borg Memory"
5. Phase 5: WebUI and Monitoring - User interface for configuration and monitoring
6. Phase 6: Scalability - Support for distributed deployment and load balancing

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

Open source under the MIT License.