Concept Activation Network (CAN) MCP Server
About
# Concept Activation Network (CAN) MCP Server The Concept Activation Network (CAN) MCP Server implements a parallel, associative thinking approach using the Model Context Protocol (MCP). Unlike sequential thinking approaches, CAN operates on a network of interconnected concepts with activation spreading in parallel…
Explore
- Network structure of interconnected concept nodes with weighted connections
- Parallel activation spreading through multiple conceptual pathways simultaneously
- Session management: create, list, and delete independent sessions
- Concept management: add/remove concepts and connections between them
- Configurable activation parameters and convergence detection
- Analysis tools: top activated concepts, emergent patterns, summaries, and history
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Concept Activation Network (CAN) MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
npm install
To use the CAN MCP Server with Claude Desktop, add the following to your claude_desktop_config.json:
{
"mcpServers": {
"can": {
"command": "node",
"args": ["yourpath/can-mcp-server/can-server.js"]
}
}
}
```
Here's a basic usage flow for CAN-based thinking:
1. Create a Session: Initialize a new concept network
2. Add Concepts: Define the key concepts relevant to the problem
3. Create Connections: Establish relationships between related concepts
4. Configure Parameters: Set activation threshold, decay rate, etc.
5. Set Initial Activation: Activate concepts corresponding to the query
6. Run Activation Process: Let activation spread until convergence
7. Identify Patterns: Find emergent patterns representing potential solutions
8. Generate Response: Synthesize a response based on the emergent patterns
The CAN MCP Server provides the following tools:
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"concept activation network (can) mcp server": {
"can": {
"command": "node",
"args": [
"yourpath/can-mcp-server/can-server.js"
]
}
}
}
}McpServers
{
"can": {
"command": "node",
"args": [
"yourpath/can-mcp-server/can-server.js"
]
}
}The Concept Activation Network (CAN) MCP Server implements a parallel, associative thinking approach using the Model Context Protocol (MCP). Unlike sequential thinking approaches, CAN operates on a network of interconnected concepts with activation spreading in parallel through the network until a coherent pattern or solution emerges.
Key Concepts
Parallel Concept Activation
Traditional AI reasoning often relies on sequential, step-by-step thinking processes. CAN takes a fundamentally different approach:
1. Network Structure: Knowledge is represented as a network of interconnected concepts
2. Parallel Activation: When prompted, activation energy spreads simultaneously through multiple pathways
3. Emergent Patterns: Solutions emerge as stable patterns of highly activated, related concepts
4. Non-Linear Exploration: Multiple conceptual paths are explored simultaneously
This approach is inspired by theories of human cognition suggesting that we often think by association rather than pure sequential logic.
Core Components
The CAN system consists of:
1. Concept Nodes: Individual units representing concepts, ideas, or elements
2. Weighted Connections: Links between concepts with varying strengths
3. Activation Dynamics: Algorithms controlling how activation spreads through the network
4. Pattern Detection: Methods for identifying emergent structures of activated concepts
Installation
```bash
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