TypingMind MCP + Sequential Thinking

This guide will help you set up the Sequential Thinking MCP server, enabling your AI assistant in TypingMind to reason through tasks and problems using a structured, step-by-step approach.

Why uses Sequential Thinking?

Sequential Thinking enhances AI reasoning by allowing it to:

Break down complex problems into manageable steps

Revise and refine thoughts as understanding deepens

Branch into alternative paths of reasoning

Adjust the total number of thoughts dynamically

Generate and verify solution hypotheses

Step-by-step to install Sequential Thinking on TypingMind

Step 1: Set up MCP Connectors

In TypingMind, go to Settings → Advanced Settings → Model Context Protocol to start setup your MCP connector. The MCP Connector acts as the bridge between TypingMind and the MCP servers.

MCP servers require a server to run on. TypingMind allows you to connect to the MCP servers via:

Your own local device

Or a private remote server.

If you choose to run the MCP servers on your device, run the command displayed on the screen.

Detail setup can be found at https://docs.typingmind.com/model-context-protocol-in-typingmind

Step 2: Add the FileSystem MCP Server

Click on Edit Servers to add MCP server

Add the following JSON to configure the Sequential Thinking MCP server:

json
{
  "mcpServers": {
    "sequential-thinking": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sequential-thinking"
      ]
    }
  }
}

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View more: Sequential Thinking MCP server

Step 3: Enable sequential thinking via Plugin section

After the MCP servers are added successfully, it will show up in your Plugins page to be used like plugin. You can use the MCP tools directly or assign them to AI agent like other plugins.

Go to the Plugins section in TypingMind.

You should see a new plugin called "sequential-thinking".

Enable the plugin

Step 4: Start chatting

You’re all set! Start chatting with your assistant using prompts that benefit from structured analysis.

Example prompt: "Decompose the task: "Build a Python CLI tool that resizes images using Pillow"”

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You can find more MCP servers at https://github.com/modelcontextprotocol/servers