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AI会話記録・活用統合システム MCP Server

@okamyuji

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

okamyuji

About AI会話記録・活用統合システム MCP Server

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

#python#docker#redis#automation#knowledge-management#productivity-tools#conversation-analysis#fastapi#ai-conversations#claude-desktop#mcp-server#cursor-integration#vscode-integration

AI会話記録・活用統合システム MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

AI会話記録・活用統合システム MCP Server tools

Tool list not available yet

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is 🧠 AI会話記録・活用統合システム?

It is a production-ready conversation management and knowledge utilization system that integrates Claude Desktop with MCP (Model Context Protocol), Redis, and Docker. It automatically records conversations from any MCP-compatible application and applies a five-level data utilization strategy to compound knowledge and improve productivity.

How to use 🧠 AI会話記録・活用統合システム?

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.

Key features of 🧠 AI会話記録・活用統合システム

  • 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

Use cases of 🧠 AI会話記録・活用統合システム

  • Auto-record Claude conversations to prevent forgetting
  • Generate morning briefings from past insights
  • Search historical conversations for context retrieval
  • Analyze conversation patterns to identify blind spots
  • Automate career and project strategy consulting with AI

Frequently asked questions

1

What are the system requirements?

Docker 20.10+, Python 3.11+, and the latest version of Claude Desktop are required.

2

How do I start the system?

Run `./scripts/start.sh` from the project root to initialize containers and dependencies.

3

How do I record a conversation?

In Claude Desktop, say "この会話を記録して" or use one of the five MCP tools like `record_current_conversation` or `save_conversation_message`.

4

What REST API endpoints are available?

Key endpoints include `POST /messages`, `POST /context`, `POST /search`, `GET /health`, and `GET /analytics`.

5

How do I automate daily tasks?

Set up the provided aliases and cron jobs (see `./scripts/aliases.sh` and `./scripts/cron_setup.txt`) to run scripts like morning briefing or weekly analysis on schedule.

Comments

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