mcpField
🧠
🧠 AI会話記録・活用統合システム

🧠 AI会話記録・活用統合システム

Local
github.com/okamyujiAI & Agents0Updated 73w ago
Repository

About 🧠 AI会話記録・活用統合システム

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

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "conversation-system": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "#"
      ]
    }
  }
}
Run commanddocker run -i --rm '#'

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
oci#

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.