Smart MCP Server
by reconsumeralization
A context-aware Model Context Protocol (MCP) server that intelligently manages tool presentation and execution based on user context and requirements. It serves as a bridge between AI models and tools, improving efficiency and reducing cognitive load.
Last updated: N/A
What is Smart MCP Server?
Smart MCP Server is a middleware that acts as a context-aware bridge between AI models and tools. It analyzes user context, historical patterns, and content to intelligently present the most relevant tools.
How to use Smart MCP Server?
To use the Smart MCP Server, clone the repository, install dependencies using npm install, configure environment variables, and start the server using npm run server. The server exposes API endpoints for tool registration, execution, context-aware tool suggestions, and workflow management.
Key features of Smart MCP Server
Context-Aware Tool Selection
Tool Server Architecture
Gemini API Integration
Workflow System
Documentation Automation
Use cases of Smart MCP Server
Intelligently presenting relevant tools to users based on their context.
Orchestrating multiple tools for complex tasks.
Integrating with Google's Gemini models for text generation and JSON formatting.
Defining and executing complex workflows with dependencies and progress monitoring.
FAQ from Smart MCP Server
What is the purpose of the Smart MCP Server?
What is the purpose of the Smart MCP Server?
It intelligently manages tool presentation and execution based on user context and requirements.
What are the prerequisites for running the server?
What are the prerequisites for running the server?
Node.js (v16.0.0 or higher), npm (v7.0.0 or higher), and a Google AI API key for Gemini API integration.
How do I install the dependencies?
How do I install the dependencies?
Run npm install in the project directory.
How do I start the server?
How do I start the server?
Run npm run server.
What API endpoints are available?
What API endpoints are available?
The server exposes endpoints for managing tools, executing tools, getting context-aware tool suggestions, and managing workflows. See the README for a full list.