feat: 🚀 MCP automatic tool discovery + dynamic models + AI function c… - #17
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…alling BREAKING CHANGE: Enhanced provider architecture with MCP integration - ✨ MCP automatic tool discovery - detects 82+ tools from connected servers - 🎯 AI function calling - seamless tool execution with Vercel AI SDK - 🔧 Dynamic model configuration via config/models.json - 🤖 Agent-based generation with automatic tool selection - 📡 Real-time MCP server management and monitoring - Added MCPEnhancedProvider for automatic tool integration - Implemented function calling for Google AI, OpenAI providers - Created unified tool registry for MCP and built-in tools - Enhanced CLI with `agent-generate` and MCP management commands - Added comprehensive examples and documentation - Automatic .mcp-config.json discovery across platforms - Session-based context management for tool execution - Graceful fallback when MCP servers unavailable - Performance optimized tool discovery (<1ms per tool) - Added 5 new comprehensive guides (MCP, troubleshooting, dynamic models) - Created practical examples for all integration patterns - Updated API reference with new capabilities - Enhanced memory bank with implementation details Resolves: Enhanced AI capabilities with real-world tool integration
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Pull Request Overview
This PR introduces major enhancements to NeuroLink by integrating automatic MCP tool discovery, dynamic model configuration, and AI function calling. Key changes include removing unused test-output JSON artifacts, updating provider factory methods to be asynchronous with proper dynamic model resolution, and a new MCP-aware provider implementation that wraps multiple AI providers with MCP tool support.
Reviewed Changes
Copilot reviewed 57 out of 75 changed files in this pull request and generated 2 comments.
Show a summary per file
| File | Description |
|---|---|
| test-output.json | Removed obsolete sample output data for cleaner codebase. |
| src/test.ts | Changed direct factory usage to use await for asynchronous provider creation. |
| src/lib/providers/openAI.ts | Added a new getModel() method to expose the underlying language model for function calling. |
| src/lib/providers/mcp-provider.ts | Introduced a new MCP-aware provider with session-based MCP tool initialization. |
| src/lib/providers/googleAIStudio.ts | Updated getModel() access to public and added tools-related parameters in text generation. |
| src/lib/providers/agent-enhanced-provider.ts | Provided an enhanced agent provider supporting CLI-based agent generation with tools. |
| src/lib/neurolink.ts | Updated MCP initialization and fallback logic to enable real MCP tool integration. |
| src/lib/mcp/* | Multiple files added/updated to support unified MCP tool registry, auto-discovery, logging, and session management. |
| src/cli/* | Added new CLI commands (e.g., agent-generate) and enhanced options for tool enablement. |
| memory-bank/* | Updated documentation reflecting new MCP discovery, function calling integration, and dynamic models. |
Comments suppressed due to low confidence (1)
src/lib/core/factory.ts:215
- [nitpick] There is commented-out MCP wrapping code in the provider factory. If this is temporary for debugging, consider documenting the reason or removing it once the issue is resolved.
// const { createMCPAwareProviderV3 } = await import("../providers/function-calling-provider.js");
| * Uses real MCP infrastructure for // Initialize MCP with enhanced error handling | ||
| await this.initializeMCP();tool discovery and execution. | ||
| */ |
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The comment in neurolink.ts combines descriptive text with stray inline code comments. Consider cleaning it up to clearly separate documentation from development notes.
| * Uses real MCP infrastructure for // Initialize MCP with enhanced error handling | |
| await this.initializeMCP();tool discovery and execution. | |
| */ | |
| * Uses real MCP infrastructure for tool discovery and execution. | |
| */ | |
| // Initialize MCP with enhanced error handling | |
| await this.initializeMCP(); |
| ? resolveError.message | ||
| : String(resolveError), | ||
| }, | ||
| ); |
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[nitpick] Ensure that using null as the fallback for a default dynamic model is intentional and consistent with other provider implementations.
🚀 MCP Automatic Tool Discovery + Dynamic Models + AI Function Calling
Overview
This PR introduces a revolutionary enhancement to NeuroLink, transforming it from a multi-provider AI SDK into a comprehensive AI development platform with automatic tool discovery and execution capabilities.
🎯 What's New
1. MCP Automatic Tool Discovery
2. AI Function Calling
3. Dynamic Model Configuration
config/models.json4. Enhanced CLI Commands