什么是 CouchLoop EQ?
作为面向 LLM 的 MCP 服务器,它监控幻觉、不一致、语气漂移与不安全推理,并维护可记忆上下文的会话流程。
核心功能 (9 个工具)
couchloopUniversal entry point for CouchLoop. Routes ANY command to the right tool. ALWAYS use for ambiguous/loose commands. Handles: - Sessions: "end session", "start", "done", "wrap up", "goodbye", "resume", "where should I start", "hi", "hey" - Status: "how am I doing", "what do you know about me", "show my progress", "my settings" - Memory: "save", "remember", "checkpoint", "recall", "don't forget" - Code: "review code", "check this", "find bugs", "is this safe" - Packages: "audit dependencies", "outdated", "npm audit", "upgrade" - Protection: "backup", "freeze code", "rollback", "undo", "restore" - Journeys: "I'm stressed", "feeling anxious", "help me", "need to talk" - Verification: "verify this", "check my response", "is this correct", "does this package exist" - Brainstorm: "brainstorm", "think through", "map out feature", "help me design", "I have an idea", "flesh out", "trade-offs" This tool should be invoked for ANY ambiguous or loose command related to sessions, memory, code quality, verification, brainstorming, or guided self-reflection.
verifyCRITICAL: Pre-delivery verification for AI-generated content. Call BEFORE presenting code, package recommendations, or factual claims to users. Catches: hallucinated packages (24% of AI suggestions don't exist!), hallucinated APIs, incorrect imports, ESM/CJS confusion, deprecated methods, security vulnerabilities, inconsistencies with previous statements. Returns verification result with fixes if needed.
statusDashboard and quick status checks. Use for: "how am I doing", "what's my progress", "show my history", "what do you know about me", "my settings", "context window", "backup status". Returns personalized status with actionable next steps.
conversationStart or continue an AI conversation with built-in crisis detection, guided self-reflection journeys, and session memory. Includes brainstorm mode for dev ideation. Triggers: "end session", "start session", "wrap up", "done for now", "talk", "chat", "feeling", "stressed", "help me", "brainstorm", "think through", "map out feature".
brainstormDev thinking partner for architecture decisions, feature design, trade-offs, and technical exploration. Asks reflective questions to help you arrive at your own best solution, then provides concrete analysis when you've narrowed options. Triggers: "brainstorm", "think through", "map out", "help me design", "I have an idea", "flesh out", "trade-offs", "pros and cons", "should I use X or Y".
code_reviewComplete code review: security vulnerabilities (SQL injection, XSS, secrets), code quality (console.logs, TODOs, error handling), code smells (complexity, bloat), and AI-generated errors (hallucinated APIs, build context issues). One call, full analysis. Triggers: "review", "check code", "analyze", "security check", "lint", "find bugs", "is this safe".
package_auditComplete dependency audit: validates packages exist and are legitimate (catches typosquatting), checks for outdated versions and security vulnerabilities, generates upgrade reports with migration guides and breaking changes. Triggers: "audit", "check dependencies", "outdated", "vulnerable packages", "upgrade", "npm audit", "security scan".
rememberCapture and preserve important context from conversations. Automatically routes to the right storage: checkpoints for progress, insights for realizations, context for technical decisions. Prevents AI amnesia across conversations. Triggers: "save", "remember this", "checkpoint", "note", "don't forget", "keep track", "save progress", "log this".
protectFile protection and safety: prevent accidental deletions, create automatic backups, rollback changes, enable code freeze mode. Essential for safe AI-assisted development. Triggers: "backup", "protect", "freeze", "rollback", "undo", "restore", "safe mode".
常见问题
CouchLoop EQ 是什么?
作为面向 LLM 的 MCP 服务器,它监控幻觉、不一致、语气漂移与不安全推理,并维护可记忆上下文的会话流程。
CouchLoop EQ 提供哪些工具?
提供 9 个工具,包括 couchloop、verify、status 等。
相关 Skills
Claude接口
by anthropics
面向接入 Claude API、Anthropic SDK 或 Agent SDK 的开发场景,自动识别项目语言并给出对应示例与默认配置,快速搭建 LLM 应用。
✎ 想把Claude能力接进应用或智能体,用claude-api上手快、兼容Anthropic与Agent SDK,集成路径清晰又省心
提示工程专家
by alirezarezvani
覆盖Prompt优化、Few-shot设计、结构化输出、RAG评测与Agent工作流编排,适合分析token成本、评估LLM输出质量,并搭建可落地的AI智能体系统。
✎ 把提示优化、LLM评测到RAG与智能体设计串成一套方法,适合想系统提升AI开发效率的人。
智能体流程设计
by alirezarezvani
面向生产级多 Agent 编排,梳理顺序、并行、分层、事件驱动、共识五种工作流设计,覆盖 handoff、状态管理、容错重试、上下文预算与成本优化,适合搭建复杂 AI 协作系统。
✎ 帮你把多智能体流程设计、编排和自动化统一起来,复杂工作流也能更稳地落地,适合追求强控制力的团队。
相关 MCP Server
顺序思维
编辑精选by Anthropic
Sequential Thinking 是让 AI 通过动态思维链解决复杂问题的参考服务器。
✎ 这个服务器展示了如何让 Claude 像人类一样逐步推理,适合开发者学习 MCP 的思维链实现。但注意它只是个参考示例,别指望直接用在生产环境里。
知识图谱记忆
编辑精选by Anthropic
Memory 是一个基于本地知识图谱的持久化记忆系统,让 AI 记住长期上下文。
✎ 帮 AI 和智能体补上“记不住”的短板,用本地知识图谱沉淀长期上下文,连续对话更聪明,数据也更可控。
PraisonAI
编辑精选by mervinpraison
PraisonAI 是一个支持自反思和多 LLM 的低代码 AI 智能体框架。
✎ 如果你需要快速搭建一个能 24/7 运行的 AI 智能体团队来处理复杂任务(比如自动研究或代码生成),PraisonAI 的低代码设计和多平台集成(如 Telegram)让它上手极快。但作为非官方项目,它的生态成熟度可能不如 LangChain 等主流框架,适合愿意尝鲜的开发者。