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my-sequential-thinking

MCP server from ZannyTornadoCoding/my-sequential-thinking-mcp-server

Installation
Run this command in your terminal to add the MCP server to Claude Code.
Run in terminal:
Command
claude mcp add --transport stdio zannytornadocoding-my-sequential-thinking-mcp-server node index.js

How to use

This MCP server provides structured sequential thinking capabilities that integrate with Cline's Memory Bank. It enables you to create and manage thinking chains, add steps with reasoning and evidence, validate connections between steps, and visualize the chain flow. You can also save complete thinking chains to Memory Bank, load them back for continuation, and search for related chains using keywords and tags. Tools like create_thinking_chain, add_thinking_step, and generate_visualization help you build a traceable reasoning process, while save_to_memory and load_from_memory facilitate persistent storage and retrieval within Memory Bank. The system supports various thinking styles (Analytical, Creative, Critical, Systems, First-Principles, Divergent, Convergent, Inductive, Deductive) and ships with templates to kickstart reasoning (e.g., First Principles Analysis, Systems Thinking Analysis).

How to install

Prerequisites:

  • Node.js v14 or later installed on your machine
  • Git to clone the repository

Installation steps:

  1. Clone the repository: git clone <repository-url>
  2. Navigate to the project directory: cd <repository-directory>
  3. Install dependencies: npm install
  4. Start the MCP server: node index.js

Verification:

  • If the server starts successfully, it will listen for MCP connections and announce readiness in the console. You can then connect to it using your MCP client (e.g., Claude/Cline) and begin issuing MCP tool calls such as create_thinking_chain, add_thinking_step, and generate_visualization.

Additional notes

Tips and considerations:

  • Ensure Node.js version compatibility (v14+ recommended) to avoid runtime issues.
  • Memory Bank integration requires proper configuration on the Memory Bank side; ensure credentials and endpoints are available if you plan to save or load chains.
  • When using generate_visualization, choose a format (mermaid, json, or text) that best fits your workflow; mermaid is convenient for rendering flow diagrams.
  • Use tags strategically to organize chains by Thinking Type, Domain, Complexity, and Status for easier retrieval via search.
  • If you encounter connection issues, check that the MCP server process has the necessary network access and that any required environment variables for Memory Bank are defined.

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