Provides production-ready containerization with health checks for secure deployment of the MCP server
Supports environment-based configuration for API keys and server settings through .env files
Enables version control and repository management for the MCP orchestrator codebase
Integrates with Google's Gemini Pro model as part of the multi-model orchestration for consensus-based reasoning approaches
Integrates with OpenAI's GPT-4 model as part of the multi-model orchestration system for advanced reasoning strategies
Supports testing framework for validating MCP server functionality
Built using Python for implementation of the MCP server and client interactions
Uses YAML for configuration of reasoning strategies and model orchestration settings
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A sophisticated server that coordinates multiple LLMs (Claude, Gemini, etc.) using the Model Context Protocol to enhance reasoning capabilities through strategies like progressive deep dive and consensus-based approaches.
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