M

My Sequential Thinking MCP Server

An MCP server focused on structured sequential thinking, providing functions such as problem decomposition, reasoning chain tracking, and thinking pattern storage, and integrating with the Memory Bank system.
2 points
14

What is the Sequential Thinking MCP Server?

This is a tool server that helps users think systematically. It can break down complex problems into clear thinking steps, establish logical reasoning chains, and visualize the entire thinking process. It is particularly suitable for scenarios that require rigorous analysis or creative problem-solving.

How to use the Sequential Thinking MCP Server?

By creating a thinking chain and gradually adding thinking steps, the system will automatically verify logical coherence. You can save the complete thinking process to the Memory Bank or generate a visualization chart to show the thinking path.

Applicable scenarios

Suitable for scenarios that require systematic thinking, such as business decision analysis, product design thinking, academic research, and complex problem-solving. It is particularly suitable for thinking synchronization and knowledge management during team collaboration.

Main features

Structured thinking chainCreate and manage ordered thinking steps to ensure that each reasoning link is clear and traceable
Automatic logical validationThe system will check the logical coherence between thinking steps and mark potential problems
Visualization of the thinking processGenerate charts (Mermaid/JSON/text) to intuitively show the thinking path
Memory Bank integrationSeamlessly connect with Cline's Memory Bank to save and retrieve the thinking process
Thinking templatesProvide a variety of preset thinking templates (such as first-principles analysis, systems thinking, etc.) to quickly start thinking

Advantages and limitations

Advantages
Materialize the abstract thinking process to improve thinking clarity
Multiple thinking types and templates meet the needs of different scenarios
Automatic logical validation helps discover thinking loopholes
Deep integration with the Memory Bank facilitates knowledge management
Visualization function facilitates sharing and team collaboration
Limitations
It requires a certain learning cost to master various thinking types
Building a complex thinking chain may take a long time
Automatic validation cannot completely replace manual inspection
Currently, there are limited choices for visualization formats

How to use

Create a thinking chain
Specify the problem description, thinking type, and context environment
Add thinking steps
Gradually add analysis steps, including description, reasoning process, and evidence
Verify the thinking chain
Check the logical coherence between steps and correct the discovered problems
Save or visualize
Save the complete thinking chain to the Memory Bank or generate a visualization chart

Usage examples

Product improvement decisionUse an analytical thinking chain to evaluate the pros and cons of three product improvement plans
Market strategy formulationApply the systems thinking template to analyze the new market entry strategy

Frequently asked questions

Is there a limit on the number of steps in a thinking chain?
How to choose the appropriate thinking type?
Which formats are supported for visualization charts?
Can the thinking chain be collaboratively edited with others?

Related resources

Mermaid chart syntax guide
Learn how to customize the generated Mermaid flowcharts
Introduction to systems thinking
Learning materials on systems thinking methods and case studies
Thinking chain template library
Detailed descriptions and usage examples of various preset thinking templates
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
216
4.3 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
383
4 points
M
MCP Obsidian
This project is an MCP server used to interact with the Obsidian note application through the Local REST API plugin of Obsidian. It provides various tools to operate and manage files in Obsidian, including listing files, retrieving file content, searching, modifying content, and deleting files.
Python
889
5 points
M
MCP Atlassian
MCP Atlassian is a Model Context Protocol server designed for Atlassian products (Confluence and Jira), supporting both cloud and on-premises deployments and providing AI assistant integration functions.
Python
1.3K
5 points
M
MCP Youtube
Download YouTube subtitles via yt - dlp and connect to Claude.ai through the MCP protocol for video content analysis
TypeScript
375
4 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
M
MCP Logseq Server
An MCP server for interacting with the LogSeq note-taking app, providing various API tools to operate on note content.
Python
323
4.1 points
S
Solana Docs MCP Server
A TypeScript-based MCP server that implements a simple note system and supports note creation and summarization functions
TypeScript
124
4.2 points
Featured MCP Services
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
838
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
151
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
99
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
573
5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
761
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase