A
licenseB
qualityB
maintenanceAn MCP server that connects Claude with Todoist for complete task and project management through natural language.
Last updated
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MIT
Why this server?
This server is an excellent fit as it directly addresses the requirement for '更新todolist' (update todolist) by integrating Claude with Todoist for complete task and project management through natural language.
Why this server?
Provides a comprehensive set of 24 tools for interacting with Todoist, offering the best capability for '更新todolist' and managing tasks, projects, sections, and labels.
AlicenseBqualityCmaintenanceA comprehensive MCP server that provides full integration between Claude and Todoist, enabling task, project, section, and label management through 24 different tools with the complete Todoist API.Last updated30856MITWhy this server?
A high-quality match for advanced reasoning, specifically mentioning 'dual-process thinking' and 'metacognitive monitoring,' which align perfectly with '退一步思考' (re-evaluation/meta-cognition), '深度思考' (deep thinking), and '慢思考' (slow/deliberative thinking).
Alicense-qualityBmaintenanceImplements human-like cognitive architecture for enhanced AI reasoning through dual-process thinking, memory systems, emotional processing, and metacognitive monitoring. Enables users to process thoughts with biological-like cognitive processes including intuitive and deliberative reasoning modes.Last updated1111MITWhy this server?
Directly addresses '一步一步思考' (thinking step-by-step) by providing tools for structured, iterative, and reflective problem-solving that breaks down complex tasks.
AlicenseAqualityCmaintenanceProvides a tool for dynamic and reflective problem-solving by breaking complex problems into manageable steps with support for revision, branching, and hypothesis generation.Last updated192,9914MITWhy this server?
Focuses on 'structured, iterative reasoning' and 'complex multi-step reasoning' with revision mechanisms, aligning strongly with the user's desire for '深度思考' and methodical, slow thinking.
AlicenseAqualityCmaintenanceEnables structured, iterative reasoning for complex problem-solving with features like confidence tracking, revision mechanisms, and branching support. Provides flexible validation and multiple output formats for systematic analysis and decision-making tasks.Last updated13169MITWhy this server?
Explicitly designed for providing '上下文记忆' (context memory) across chat sessions by storing and managing conversational context persistently.
Alicense-qualityCmaintenanceA Model Context Protocol server for Claude Desktop that provides structured memory management across chat sessions, allowing Claude to maintain context and build a knowledge base within project directories.Last updated116MITWhy this server?
A specialized short-term memory server that automatically stores and recalls 'working context, session state, and task progress,' directly addressing the need for '上下文记忆'.
AlicenseAqualityFmaintenanceA lightweight short-term memory MCP server that automatically stores and recalls working context, session state, and task progress for AI agents. Memories auto-expire after 24 hours and integrate seamlessly with workspace-aware storage across multiple projects.Last updated10MITWhy this server?
Enables intelligent task management with 'status tracking, dependency resolution, and automatic next task discovery,' covering the structured thinking aspects and the '更新todolist' functionality.
Flicense-qualityCmaintenanceEnables intelligent task management with status tracking, dependency resolution, and automatic next task discovery based on preconditions and priorities. Supports hierarchical task structures with subtasks and flexible JSON-based configuration.Last updated1Why this server?
Enhances the AI's core capabilities by enabling 'complex multi-step reasoning tasks' with greater precision, supporting both '深度思考' and '一步一步思考'.
AlicenseAqualityCmaintenanceEnhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine, allowing Claude to tackle complex multi-step reasoning tasks with greater precision.Last updated1MIT