Structured Thinking MCP Server

Name: Structured Thinking MCP Server
Author: Promptly-Technologies-LLC

@Promptly-Technologies-LLC

Structured Thinking MCP Server について

A TypeScript Model Context Protocol (MCP) server to allow LLMs to programmatically construct mind maps to explore an idea space, with enforced "metacognitive" self-reflection

#ai #mcp #mindmap #mcp-server

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

Promptly-Technologies-LLC

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": {
    "structured-thinking": {
      "command": "npx",
      "args": [
        "-y",
        "structured-thinking"
      ]
    }
  }
}

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 Structured Thinking MCP Server?

A TypeScript Model Context Protocol (MCP) server that allows LLMs to programmatically construct mind maps for exploring an idea space, with enforced metacognitive self-reflection. It is based on Arben Ademi's Sequential Thinking Python server.

How to use Structured Thinking MCP Server?

Configure the tool in Claude Desktop, Cursor, or another MCP client using the JSON setting with "command": "npx" and "args": ["-y", "structured-thinking"]. The server exposes MCP tools such as capture_thought, revise_thought, retrieve_relevant_thoughts, get_thinking_summary, and clear_thinking_history.

Key features of Structured Thinking MCP Server

Thought quality scores (0–1) for metacognitive feedback
Thought stages (e.g., Problem Definition, Analysis) to steer thinking
Branching to explore parallel lines of reasoning
Short-term memory buffer (10 most recent thoughts)
Long-term memory retrieval based on tags
Summarization of entire thinking process

Use cases of Structured Thinking MCP Server

LLMs constructing structured mind maps during problem-solving
Enforcing self-reflection and metacognitive awareness in reasoning
Exploring multiple solution branches simultaneously
Debugging or reviewing an LLM's thought process step-by-step

FAQ from Structured Thinking MCP Server

How are thought quality scores used?

Each thought is assigned a quality score between 0 and 1, which combines with the thought's stage to provide metacognitive feedback that steers the LLM's thinking process.

What are thought stages and why are they important?

Each thought is tagged with a stage (e.g., Problem Definition, Analysis, Ideation). If the LLM spends too long in a stage or has low-quality thoughts, the server gives feedback to steer toward other stages or different thinking strategies.

Does the server persist thoughts to a file or database?

No. Currently, all thoughts are stored only in memory. There is no user interface or persistence to a file or database.

What are the main limitations of the server?

The metacognitive monitoring is mechanical, based on a single self-reported quality score and naive stage-based multipliers. There is also no user interface or visualization of the thought graph.

What MCP tools does the server expose?

It exposes capture_thought, revise_thought, retrieve_relevant_thoughts, get_thinking_summary, and clear_thinking_history.

「その他」の他のコンテンツ

MaxKB

1Panel-dev

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

22.0K

IDA Pro MCP

mrexodia

AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.

9.9K

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K