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Conxt Memory Layer MCP Server

@pgavali0318

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

pgavali0318

投稿者

Priyadarshi Gavali

Conxt Memory Layer MCP Server について

Persistent AI memory layer for developers. Stores decisions, coding rules, preferences, tool choices, and workflows across Claude, ChatGPT, Gemini, Cursor, and Windsurf. 8 MCP tools including get_context, add_memory, search_decisions, and team workspaces. Never re-explain your st

#memory#developer-tools#productivity#cursor#claude#ai-agents

Conxt Memory Layer MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "conxt": {
      "url": "https://mcp.conxt.dev/mcp/",
      "headers": {
        "Authorization": "Bearer YOUR_CNXT_API_KEY"
      }
    }
  }
}

Conxt Memory Layer MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

What is Conxt Memory Layer?

Conxt Memory Layer is a persistent AI memory layer for developers. It stores decisions, coding rules, preferences, tool choices, and workflows across Claude, ChatGPT, Gemini, Cursor, and Windsurf, providing 8 MCP tools including get_context, add_memory, search_decisions, and team workspaces.

How to use Conxt Memory Layer?

The README does not provide installation, configuration, or invocation instructions. Refer to the server's documentation for details.

Key features of Conxt Memory Layer

  • Persistent AI memory across multiple platforms
  • Supports Claude, ChatGPT, Gemini, Cursor, Windsurf
  • 8 MCP tools: get_context, add_memory, search_decisions
  • Team workspaces for shared memory
  • Stores decisions, coding rules, preferences, workflows

Use cases of Conxt Memory Layer

  • Avoid re-explaining your preferences to different AI assistants
  • Maintain consistent coding rules across tools and sessions
  • Share team memory for collaborative development workflows

よくある質問

1

Which AI platforms does it work with?

Claude, ChatGPT, Gemini, Cursor, and Windsurf.

2

What tools does it provide?

8 MCP tools including get_context, add_memory, search_decisions, and team workspaces.

3

Is it for individual or team use?

It supports both individual and team workspaces.

4

What kind of data does it store?

Decisions, coding rules, preferences, tool choices, and workflows.

コメント

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