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Sequential Thinking MCP Server

An MCP server that enables dynamic, reflective problem-solving by structuring thought processes and automatically logging each session to Recall.

Structured Thinking MCP Server

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

Structured Thinking

A unified MCP server for structured thinking tools including template thinking, and verification thinking

TranscriptionTools MCP Server

An MCP server providing intelligent transcript processing capabilities, featuring natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs.

Sequential Thinking MCP Server

Retrieval-Augmented Thinking MCP Server

MCP server for retrieval augmented thinking and problem solving

Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP

🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions.

MCP Klaudium

Enhanced MCP memory system with dynamic compression, context management and thinking process integration. Based on the original MCP memory server.

shannon-thinking

MCP server for applying a Claude Shannon-inspired problem-solving pattern

mcp-sequentialthinking-tools

🧠 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.

RAT MCP Server (Retrieval Augmented Thinking)

🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions.

Command Injection Vulnerability in MCP File Reader

A deliberately vulnerable MCP server demonstrating command injection flaws. This Python implementation shows how lack of input sanitization in file paths leads to critical security vulnerabilities all

QwenLong-L1

QwenLong-L1-32B 是阿里巴巴集团 Qwen-Doc 团队推出的，基于强化学习训练的首个长文本推理大模型。模型基于渐进式上下文扩展、课程引导的强化学习和难度感知的回顾性采样策略，显著提升在长文本场景下的推理能力。模型在多个长文本文档问答（DocQA）基准测试中表现优异，平均准确率达到了70.7%，超越OpenAI-o3-mini和Qwen3-235B-A22B等现有旗舰模型，且与Cla