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Sequential Thinking Tools

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spences10

🧠 An adaptation of the MCP Sequential Thinking Server to guide tool usage. This server provides recommendations for which MCP tools would be most effective at each stage.

Publisherspences10
Repositorymcp-sequentialthinking-tools
LanguageTypeScript
Forks
86
Stars
581
Available tools
1
Transport typestdio, streamable-http
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Sequential Thinking Tools exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 1 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    581 stars and 86 forks from the linked repository.

mcp-sequentialthinking-tools

built with vite+ tested with vitest

A lightweight MCP server for recording sequential reasoning steps. It is a scratchpad with history, branching, revision metadata, and optional validation for model-authored tool plans.

It does not discover your other MCP tools and it does not choose tools for the model. If you pass available_tools and recommended_tools, the server validates that the recommended names exist and stores the step.

Why use it?

Use this when a task benefits from explicit, inspectable reasoning:

  • breaking a messy problem into steps;
  • revising or branching a plan;
  • keeping a small reasoning history by session;
  • validating tool-plan names against a supplied tool list;
  • clearing or inspecting reasoning history during a long agent run.

Do not use it for trivial requests. It adds overhead.

Tools

sequentialthinking_tools

Records one thought.

Required parameters:

  • thought — current reasoning step
  • thought_number — current step number
  • total_thoughts — current estimate; automatically raised if lower than thought_number
  • next_thought_needed — whether another thought is needed

Optional parameters:

  • session_id — history bucket; defaults to default
  • is_revision, revises_thought
  • branch_from_thought, branch_id
  • needs_more_thoughts
  • available_tools — array of tool names or { name, description } objects
  • recommended_tools — model-authored recommendations to validate/store
  • remaining_steps — short list of upcoming steps

Example:

json
{
	"session_id": "svelte-debug",
	"thought": "First inspect the route files, then run the failing check.",
	"thought_number": 1,
	"total_thoughts": 3,
	"next_thought_needed": true,
	"available_tools": ["read", "bash"],
	"recommended_tools": [
		{
			"tool_name": "read",
			"confidence": 0.9,
			"rationale": "Need to inspect the relevant files before editing.",
			"priority": 1
		}
	]
}

If recommended_tools contains a name not present in available_tools, the call returns isError: true and does not store the thought.

Security posture

The server treats thought text, tool descriptions, rationales, and remaining-step text as untrusted input. Prompt-injection-like text is scanned and redacted before it is stored or returned in history. Calls with redactions include security_warnings showing which fields matched.

This is defensive filtering, not a guarantee that arbitrary adversarial text is safe. Do not put secrets in thoughts or tool descriptions.

get_thinking_history

Returns stored thoughts for a session.

Parameters:

  • session_id — defaults to default
  • branch_id — optional branch filter
  • limit — max records to return; default 50, max 500

clear_thinking_history

Clears one session or every session.

Parameters:

  • session_id — defaults to default
  • all_sessions — clear all history buckets

Prompt

sequential-thinking-guidance

A short prompt that tells the model how to use this server honestly: as a scratchpad and validator, not as an external reasoning engine.

Configuration

Claude Desktop / compatible MCP clients

json
{
	"mcpServers": {
		"mcp-sequentialthinking-tools": {
			"command": "npx",
			"args": ["-y", "mcp-sequentialthinking-tools"],
			"env": {
				"MAX_HISTORY_SIZE": "1000"
			}
		}
	}
}

MAX_HISTORY_SIZE is per session and defaults to 1000.

The server uses tmcp and includes a small stdio transport that accepts both standard Content-Length framed MCP messages and newline-delimited JSON used by older tmcp tooling.

Development

bash
pnpm install
pnpm test
pnpm build
pnpm check

This project uses vite-plus for build, test, format, and lint orchestration.

Publishing

bash
pnpm changeset
pnpm changeset version
pnpm release

License

MIT License — see LICENSE.

Acknowledgments

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "mcp-sequentialthinking-tools": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-sequentialthinking-tools"
      ]
    }
  }
}

Available Tools

  • sequentialthinking_tools

    $2e

Use Sequential Thinking Tools MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Sequential Thinking Tools is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. You can run MCP locally on your device or connect to a remote MCP server URL.

Option 1: Use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Sequential Thinking Tools as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Sequential Thinking Tools MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "sequential-thinking-tools": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-sequentialthinking-tools"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Sequential Thinking Tools MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Sequential Thinking Tools MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Sequential Thinking Tools to help me with this task?
Sequential Thinking Tools
Sure. I read it.
Here is what I found using Sequential Thinking Tools.

Option 2: Add an MCP server URL

Use this when Sequential Thinking Tools is already hosted remotely or your team wants one shared connector that multiple users can access.

1

Open MCP connectors

In TypingMind, go to Plugins, open MCP connectors, then choose Add URL.

  1. Open TypingMind in your browser.
  2. Go to Plugins.
  3. Open MCP connectors.
  4. Click Add URL.
TypingMind Add Custom MCP Server URL form
2

Paste the server URL

Enter your server URL in the Server URL field. Add a connection name, description, icon, custom HTTP headers, or OAuth client settings if the server requires them.

  1. Paste your server URL into the Server URL field.
  2. Enter a connection name for Sequential Thinking Tools.
  3. Add a description and icon if you want it to be easier to identify.
  4. Add custom HTTP headers or OAuth client details if the server requires authentication.
3

Create the connection

Click Create connection, then return to the Plugins list and confirm the new MCP connection is active.

  1. Click Create connection.
  2. Return to the MCP connectors list.
  3. Confirm the Sequential Thinking Tools connection appears as active.
  4. Refresh the plugin list if the connection does not appear immediately.
4

Switch models without reconnecting

Start a chat with your preferred model, enable the Sequential Thinking Tools tools from Plugins, and switch to another model whenever needed. The MCP connection stays available to the TypingMind workspace.

  1. Start a new chat in TypingMind.
  2. Select the AI model you want to use.
  3. Enable the Sequential Thinking Tools tools from Plugins.
  4. Ask the model to use the tool when needed.
  5. Switch to another AI model and reuse the same MCP connection.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Sequential Thinking Tools to help me with this task?
Sequential Thinking Tools
Sure. I read it.
Here is what I found using Sequential Thinking Tools.

Frequently asked questions

What is the Sequential Thinking Tools MCP server used for?

Sequential Thinking Tools is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Sequential Thinking Tools MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Sequential Thinking Tools with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Sequential Thinking Tools MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Sequential Thinking Tools connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Sequential Thinking Tools MCP to TypingMind?

Sequential Thinking Tools can be connected in TypingMind with the local MCP connector or by adding a remote MCP server URL. Use the local connector when the server needs access to files, apps, or private resources on your device, and use a server URL when the MCP server is hosted remotely.

What tools does Sequential Thinking Tools MCP provide in TypingMind?

Sequential Thinking Tools exposes 1 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Sequential Thinking Tools MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Sequential Thinking Tools requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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