CC-MCP

Created By

Beginnersguide1384 months ago

🌟 Revolutionary AI Context Management: Solving LLM Memory Loss in Long Conversations Long-term conversational consistency management system for LLM-powered AI agents 🚀 The Problem We Solve Traditional LLMs suffer from "intent forgetting" in long conversations: ❌ Lose track of the original goal after a few turns ❌ Forget important constraints and decisions ❌ Provide inconsistent responses across dialogue sessions ❌ Require users to constantly remind the AI of context CC-MCP provides intelligent context management tools to help MCP clients maintain consistency. 🎯 Real-World Impact Before CC-MCP: User: "I want to build an AI assistant app" AI: "Sure! Here are some general approaches..." [10 messages later] User: "Remember, budget is 500K yen, 3 months timeline" AI: "What project are we talking about?" ❌ After CC-MCP: User: "I want to build an AI assistant app" AI: "Great! Let me help you design this system..." [10 messages later] User: "What about deployment options?" AI: "For your AI assistant app (budget: 500K yen, 3-month timeline, security priority), here are deployment strategies that fit your constraints..." ✅

# #task #never-forget-task #memory

Overview Content Tools Comments

Overview

Server Config

{
  "mcpServers": {
    "cc-mcp": {
      "autoApprove": [
        "process_user_message",
        "start_session",
        "get_debug_info",
        "list_sessions",
        "get_session_stats",
        "export_context",
        "import_context",
        "clear_context",
        "end_session"
      ],
      "disabled": false,
      "timeout": 120,
      "type": "stdio",
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/your/cc-mcp",
        "main.py"
      ],
      "env": {
        "CLASSIFIER_API_URL": "https://api.openai.com/v1/chat/completions",
        "CLASSIFIER_API_KEY": "your_openai_api_key_here",
        "CLASSIFIER_MODEL": "gpt-4o-mini"
      }
    }
  }
}

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