Claude Session Memory IndexerをAIに接続

最速日

726ms

最遅日

1149ms

14日間の傾向

安定-2%

Claude Session Memory Indexer Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_BjVkHByUnS0ST7LAlvTWGv4MSyAsDF6XkgfthZwR/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Claude Session Memory Indexer capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "claude-session-memory-indexer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_BjVkHByUnS0ST7LAlvTWGv4MSyAsDF6XkgfthZwR/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Claude Session Memory IndexerをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  ソフトウェアエンジニア

  プロジェクト固有のコマンドやコーディング規約をAIに記憶させ、開発効率を向上させたい方。

• 02

  DevOpsエンジニア

  デバッグパターンや環境構築の手順を蓄積し、AIによるトラブルシューティングを迅速化したい方。

• 03

  テクニカルリード

  チーム全体のプロジェクト規約をAIに学習させ、一貫性のあるコード生成を実現したい方。

• 01

  How does this MCP prevent mixing up different projects?

  It uses deterministic hashing to create a unique identity for each project. This ensures that memories saved for Project A are never used when you are working in Project B.

• 02

  What kind of information can I save?

  You can save anything from build commands and environment variable requirements to specific debugging patterns and coding conventions.

• 03

  Which AI clients can use this?

  This MCP works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 04

  Do I need to manually tell the AI to remember things?

  You can use the index_learning capability to explicitly save an insight, or your agent can trigger it to persist important patterns it discovers.

• 05

  How does the search function work?

  The MCP uses keyword matching and Jaccard similarity to find the most relevant pieces of information from your stored memories.

• 06

  How does the system ensure memories don't leak between projects?

  The system uses a unique project hash generated from your CLAUDE.md and directory structure. This ensures that index_learning only stores and retrieves memories belonging to the specific project context.

• 07

  Can I filter my search by specific categories?

  Yes, when using query_memories, you can provide a categoryFilter to narrow down results to specific groups like build_commands or project_conventions.

• 08

  What happens if I save a duplicate learning?

  The system automatically detects near-duplicates. If a new learning has a Jaccard similarity greater than 0.9 with an existing one, it updates the existing entry instead of creating a new one.

• 

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  Mem AI (Knowledge Workspace) AIコネクタ

  Manage your knowledge base via Mem.ai — create notes, run AI semantic search, and organize collections.

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