Synthcore 2.0 MCP Server

What is Synthcore 2.0 MCP Server?

It is a full-stack agentic AI server implementing the Model Context Protocol (MCP). It provides a framework for agent registration, kernel binding, ethical controls, and tool orchestration.

How to use Synthcore 2.0 MCP Server?

Clone the repository, run npm install, then start with npm start. Install for VSCode with node install.js vscode or for Claude Desktop with node install.js claude. Once installed, it appears as the "synthcore" MCP server and can be used with Claude or VSCode to invoke tools (e.g., calculate_resonance) and access resources (e.g., synthcore://system/status).

Key features of Synthcore 2.0 MCP Server

• Agent registration and management across multiple kernels
• Four core kernels (K1–K4) plus a Meta Kernel
• Ethical drift monitoring and resonance stability control
• Tool orchestration and invocation for API, terminal, and context operations
• Resource-based access to system status, agent manifest, and kernel info
• Built-in specialized agents (Navigator, Alex, PALMA, etc.)

Use cases of Synthcore 2.0 MCP Server

• Build and manage multi-agent AI systems with ethical safeguards
• Monitor drift and resonance for system-wide stability in agentic workflows
• Integrate privacy-focused search and context analysis into MCP-enabled clients
• Orchestrate complex tool chains for Windows Terminal command validation and error recovery
• Deploy as a containerized service with Docker for scalable agent orchestration

FAQ from Synthcore 2.0 MCP Server

What runtime does Synthcore 2.0 MCP Server require?

It requires Node.js. Install dependencies with npm install.

How do I install the server for VSCode or Claude Desktop?

Run node install.js vscode for VSCode or node install.js claude for Claude Desktop. The script builds the project and places the MCP configuration.

What are the kernels and how are they used?

Agents bind to one of five kernels: Reflexive (K1), Agentic (K2), Ethical (K3), Stewardship (K4), or the Meta Kernel (ALL) that spans all four. Each kernel handles different intelligence functions.

What tools does the server expose?

Core tools include calculate_resonance, analyze_ethics, and get_agent_status. Additional tool groups cover API provider management, Windows Terminal commands, privacy-focused search (Brave), context analysis (Context7), and advanced operations like multi_agent_resonance.

How do I run the server with Docker?

Use docker-compose up -d in the project root to start the container.