Concept Activation Network (CAN) MCP Server

Name: Concept Activation Network (CAN) MCP Server
Author: psikosen

@psikosen

リポジトリ

Concept Activation Network (CAN) MCP Server について

概要はまだありません

#mathgpt #math-solver #math-assistant

基本情報

カテゴリ

その他

ランタイム

node

トランスポート

stdio

公開者

psikosen

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "can": {
      "command": "node",
      "args": [
        "yourpath/can-mcp-server/can-server.js"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is 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). It represents knowledge as a network of interconnected concepts where activation spreads simultaneously through multiple pathways until a coherent pattern or solution emerges, offering an alternative to sequential AI reasoning for creative and associative tasks.

How to use Concept Activation Network (CAN) MCP Server?

Clone the repository, install dependencies with npm install, and start with npm start. Configure it in Claude Desktop by adding a can entry to your claude_desktop_config.json pointing to can-server.js. Use the MCP tools to create sessions, add concepts and connections, set activation parameters, run activation iterations, and analyze emergent patterns.

Key features of Concept Activation Network (CAN) MCP Server

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

Use cases of Concept Activation Network (CAN) MCP Server

Creative challenges that benefit from innovative, non-obvious connections
Associative problems requiring linking disparate concepts
Multi-perspective analysis when multiple viewpoints must be considered
Complex pattern recognition to identify non-obvious relationships
Intuitive reasoning tasks where structured logic is less effective

FAQ from Concept Activation Network (CAN) MCP Server

What is CAN vs. sequential thinking?

CAN operates by parallel concept activation spreading across a network until patterns emerge, while sequential thinking follows step‑by‑step logical deduction. CAN is effective for creative, associative, and multi‑perspective tasks; sequential thinking suits logical deduction and procedural problems.

How do I install and run the CAN MCP Server?

Clone the repository, run npm install, then npm start. Add it to Claude Desktop by editing claude_desktop_config.json with the command node and args pointing to can-server.js.

What MCP tools does the CAN server provide?

The server provides tools for session management (create_session, get_all_sessions, delete_session), concept management (add_concept, remove_concept, etc.), activation process (set_parameters, run_until_convergence), and analysis (get_top_activated_concepts, identify_emergent_patterns, generate_summary, get_activation_history).

What are the core components of the CAN network?

The core components are Concept Nodes (individual units), Weighted Connections (links between concepts), Activation Dynamics (algorithms controlling activation spread), and Pattern Detection (methods for identifying emergent structures).