Cover image

打字稿模型上下文协议(MCP)服务器,允许LLMS通过执行“元认知”自我反射来编程构建思维图以探索思想空间

3 years

Works with Finder

1

Github Watches

2

Github Forks

3

Github Stars

Structured Thinking MCP Server

A TypeScript Model Context Protocol (MCP) server based on Arben Ademi's Sequential Thinking Python server. The motivation for this project is to allow LLMs to programmatically construct mind maps to explore an idea space, with enforced "metacognitive" self-reflection.

Setup

Set the tool configuration in Claude Desktop, Cursor, or another MCP client as follows:

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

Overview

Thought Quality Scores

When an LLM captures a thought, it assigns that thought a quality score between 0 and 1. This score is used, in combination with the thought's stage, for providing "metacognitive" feedback to the LLM how to "steer" its thinking process.

Thought Stages

Each thought is tagged with a stage (e.g., Problem Definition, Analysis, Ideation) to help manage the life-cycle of the LLM's thinking process. In the current implementation, these stages play a very important role. In effect, if the LLM spends too long in a given stage or is having low-quality thoughts in the current stage, the server will provide feedback to the LLM to "steer" its thinking toward other stages, or at least toward thinking strategies that are atypical of the current stage. (E.g., in deductive mode, the LLM will be encouraged to consider more creative thoughts.)

Thought Branching

The LLM can spawn “branches” off a particular thought to explore different lines of reasoning in parallel. Each branch is tracked separately, letting you manage scenarios where multiple solutions or ideas should coexist.

Memory Management

The server maintains a "short-term" memory buffer of the LLM's ten most recent thoughts, and a "long-term" memory of thoughts that can be retrieved based on their tags for summarization of the entire history of the LLM's thinking process on a given topic.

Limitations

Naive Metacognitive Monitoring

Currently, the quality metrics and metacognitive feedback are derived mechanically from naive stage-based multipliers applied to a single self-reported quality score.

As part of the future work, I plan to add more sophisticated metacognitive feedback, including semantic analysis of thought content, thought verification processes, and more intelligent monitoring for reasoning errors.

Lack of User Interface

Currently, the server stores all thoughts in memory, and does not persist them to a file or database. There is also no user interface for reviewing the thought space or visualizing the mind map.

As part of the future work, I plan to incorporate a simple visualization client so the user can watch the thought graph evolve.

MCP Tools

The server exposes the following MCP tools:

capture_thought

Create a thought in the thought history, with metadata about the thought's type, quality, content, and relationships to other thoughts.

Parameters:

  • thought: The content of the current thought
  • thought_number: Current position in the sequence
  • total_thoughts: Expected total number of thoughts
  • next_thought_needed: Whether another thought should follow
  • stage: Current thinking stage (e.g., "Problem Definition", "Analysis")
  • is_revision (optional): Whether this revises a previous thought
  • revises_thought (optional): Number of thought being revised
  • branch_from_thought (optional): Starting point for a new thought branch
  • branch_id (optional): Identifier for the current branch
  • needs_more_thoughts (optional): Whether additional thoughts are needed
  • score (optional): Quality score (0.0 to 1.0)
  • tags (optional): Categories or labels for the thought

revise_thought

Revise a thought in the thought history, with metadata about the thought's type, quality, content, and relationships to other thoughts.

Parameters:

  • thought_id: The ID of the thought to revise
  • Parameters from capture_thought

retrieve_relevant_thoughts

Retrieve thoughts from long-term storage that share tags with the specified thought.

Parameters:

  • thought_id: The ID of the thought to retrieve relevant thoughts for

get_thinking_summary

Generate a comprehensive summary of the entire thinking process.

clear_thinking_history

Clear all recorded thoughts and reset the server state.

License

MIT

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • Yasir Eryilmaz
  • AI scriptwriting assistant for short, engaging video content.

  • J. DE HARO OLLE
  • Especialista en juegos de palabras en varios idiomas.

  • Daren White
  • A supportive coach for mastering all Spanish tenses.

  • albert tan
  • Japanese education, creating tailored learning experiences.

  • momi
  • Provides initial medical assessments and advice.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • huahuayu
  • 统一的API网关,用于将多个Etherscan样区块链Explorer API与对AI助手的模型上下文协议(MCP)支持。

  • deemkeen
  • 用电源组合控制您的MBOT2:MQTT+MCP+LLM

  • zhaoyunxing92
  • MCP(消息连接器协议)服务

  • pontusab
  • 光标与风浪冲浪社区,查找规则和MCP

    Reviews

    5 (1)
    Avatar
    user_g5gppNmx
    2025-04-15

    The Sefaria Jewish Library MCP Server by MCP-Mirror is a remarkable resource for accessing Jewish texts. Its seamless integration and extensive library make it invaluable for scholars and enthusiasts alike. With its user-friendly interface and comprehensive collection, it truly enhances the study and appreciation of Jewish literature. Highly recommended for anyone looking to delve deeper into Jewish studies. Check it out here: https://mcp.so/server/OpenTorah-ai_mcp-sefaria-server/MCP-Mirror