🧠 AI会話記録・活用統合システム

by okamyuji

382 downloads

Not rated

GitHub

About

🧠 Automated AI conversation recording and knowledge management system with MCP integration for Claude Desktop, VSCode, and Cursor

Details

Author: okamyuji
Downloads: 382
Categories: AI, Automation

- Automatic conversation recording via MCP integration
- Five-level strategic knowledge utilization system
- REST API for programmatic access and automation
- Daily briefing and weekly analysis scripts (Bash/cron)
- Redis persistence with backup and restore support
- Python client for custom integrations and reporting

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name 🧠 AI会話記録・活用統合システム

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

From the repository

Set up the environment with Docker 20.10+, Python 3.11+, and the latest Claude Desktop. Run ./scripts/start.sh to launch the system, then use the command "この会話を記録して" in Claude Desktop to auto-save conversations. Leverage knowledge manager scripts (e.g., ./scripts/knowledge_manager.sh morning) for daily insights, and access the REST API or MCP tools for custom workflows.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "\ud83e\udde0 ai\u4f1a\u8a71\u8a18\u9332\u30fb\u6d3b\u7528\u7d71\u5408\u30b7\u30b9\u30c6\u30e0": {
            "conversation-system": {
                "command": "docker",
                "args": [
                    "--version",
                    "#",
                    "Docker",
                    "20.10+"
                ]
            }
        }
    }
}

McpServers

{
    "conversation-system": {
        "command": "docker",
        "args": [
            "--version",
            "#",
            "Docker",
            "20.10+"
        ]
    }
}

🧠 AI会話記録・活用統合システム

- 自動化による知識複利システム - Claude Desktop + Redis + Docker + MCP統合システム
- あなたの思考を外部化し、知識を複利的に蓄積するproduction-readyな会話管理・活用システムです。
- MCPサーバー統合により、VScode/Cursor/Claude DesktopなどのMCPサーバーが使えるアプリから「会話を記録して」だけで自動保存し、5段階のデータ活用戦略で生産性向上を実現します。

🎯 システム概要

解決する課題

- ❌ 手動登録による記録忘れ
- ❌ 蓄積データの死蔵
- ❌ 知識の分散と非効率な検索
- ❌ 過去の洞察の活用不足
- ❌ 振り返りとパターン分析の欠如

実現する価値

- ✅ 完全自動記録: MCP経由での「記録して」コマンドによる会話自動登録
- ✅ 戦略的データ活用: 5段階システムによる価値最大化
- ✅ 知識複利効果: 過去の洞察による質問品質向上
- ✅ 盲点発見: パターン分析による思考最適化
- ✅ 生産性向上: 自動化された知識管理ワークフロー

🏗️ アーキテクチャ

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│  Claude Desktop │    │   MCP Server    │    │   FastAPI App   │
│  (MCP Client)   │◄──►│  (Python 3.11)  │◄──►│   (Port 8000)   │
└─────────────────┘    └─────────────────┘    └─────────────────┘
                                                        │
                                               ┌─────────────────┐
                                               │     Redis       │
                                               │   (Port 6379)   │
                                               │   永続化対応      │
                                               └─────────────────┘
                                                        │
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│ 知識活用スクリプト │    │ 自動分析システム  │     │  戦略レポート    │
│ 群 (Bash/Python) │◄──►│ (cron/エイリアス) │◄──►│ (週次・月次)    │
└─────────────────┘    └─────────────────┘    └─────────────────┘

🔧 技術スタック

- Backend Infrastructure
- Redis: 7.2-alpine (高速データアクセス・永続化)
- FastAPI: Python 3.11以上 (REST API)
- Docker Compose: 統合環境管理
- MCP Server: Python SDK 1.9.2

- Knowledge Management
- Bash Scripts: 分析・レポート自動化
- cron: 定期実行スケジューリング
- JSON API: 構造化データアクセス

🚀 クイックスタート

1. 環境準備

```bash

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

🧠 AI会話記録・活用統合システム

About

Details

Jump to

Setting up with Highlight

Setting up with Cursor

JSON

JSON

JSON

Setting up with Claude Desktop

JSON

JSON

JSON

Setting up with Windsurf

JSON

JSON

JSON

Setting up with Cline

JSON

JSON

JSON

Setting up with Goose

JSON

JSON

JSON

From the repository

Claude Desktop / Cursor

McpServers

🧠 AI会話記録・活用統合システム

🎯 システム概要

解決する課題

実現する価値

🏗️ アーキテクチャ

🔧 技術スタック

🚀 クイックスタート

1. 環境準備

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

🧠 AI会話記録・活用統合システム

🎯 システム概要

解決する課題

実現する価値

🏗️ アーキテクチャ

🔧 技術スタック

🚀 クイックスタート

1. 環境準備

Install

More like this

@mendableai/firecrawl Mcp Server

Umut Naci

Playwright

Fetch

Puppeteer

Context 7