mcp_llm 0.2.2

Dart plugin for integrating Large Language Models (LLMs) with Model Context Protocol (MCP). Provides tools for LLM communication, multi-client support, parallel processing, and RAG capabilities.

0.2.2

0.2.1

0.2.0

• Multi-MCP Client Support (New Feature)
  • Added McpClientManager class to manage multiple MCP clients within a single LLM client
  • Enhanced LLM clients to work with multiple MCP clients identified by string IDs
  • Implemented intelligent routing of tool calls to the most appropriate MCP client
  • Added schema matching algorithm to select the best client for each tool
• Multi-LLM Client Support (Existing Feature)
  • Maintained MultiClientManager for managing multiple LLM clients
  • Preserved query routing, load balancing, and fan-out capabilities
  • Kept the ability to manage multiple LLM clients from a single McpLlm instance
• LLM Provider Multi Language Support
• API Additions
  • Added mcpClients parameter to createClient method for initializing with multiple MCP clients
  • New MCP client management methods:
  • addMcpClient, removeMcpClient, setDefaultMcpClient
  • getMcpClientIds, findMcpClientsWithTool, getToolsByClient
  • New tool execution methods:
  • executeToolWithSpecificClient: Execute a tool on a specific MCP client
  • executeToolOnAllMcpClients: Execute a tool on all MCP clients and collect results *Compatibility Notes
  • All changes maintain backward compatibility with existing code
  • Single MCP client approach continues to be supported
  • New multi-client functionality is available as an opt-in feature

0.1.0

• Initial release
• Features:
  • Multiple LLM provider support (Claude, OpenAI, Together AI)
  • Multi-client management with routing and load balancing
  • Parallel processing across multiple LLM providers
  • Plugin system for custom tools and templates
  • Document storage and RAG capabilities
  • Performance monitoring and task scheduling
• Known limitations:
  • API still subject to significant changes
  • Limited test coverage
  • Some providers may have incomplete implementations
  • Documentation is preliminary