MCP Server Rabel

@jaspertvdm

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

jaspertvdm

投稿者

Jasper van de Meent

MCP Server Rabel について

Project description

#mcp-server #ai-memory #local-first

MCP Server Rabel 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": {
    "rabel": {
      "command": "python",
      "args": [
        "-m",
        "mcp_server_rabel"
      ],
      "env": {}
    }
  }
}

MCP Server Rabel 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。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Mcp Server Rabel?

Mcp Server Rabel (Recidive Active Brain Environment Layer) is a local-first AI memory server that gives AI assistants persistent memory with semantic search, graph relations, and soft pipelines. Inspired by Mem0 and evolved for HumoticaOS, it runs 100% locally with no cloud, no API keys, and no data leaving the machine.

How to use Mcp Server Rabel?

Install via pip: pip install mcp-server-rabel (basic) or pip install mcp-server-rabel[full] (adds vector search and embeddings). Add to Claude CLI with claude mcp add rabel -- python -m mcp_server_rabel. Tools include rabel_add_memory, rabel_search, rabel_add_relation, rabel_get_guidance, and rabel_next_step.

Key features of Mcp Server Rabel

100% local, zero cloud dependencies
Semantic memory storage and retrieval
Knowledge graph with entity relations
Soft pipelines for guided step-by-step tasks
Bilingual support (Dutch and English)
Graceful degradation: works without vector search
SQLite storage with optional sqlite-vec

Use cases of Mcp Server Rabel

Remember facts about users, team members, or projects
Semantically search past memories using natural language
Build and query a knowledge graph of entities and relationships
Guide AI assistants through multi-step processes with soft pipelines

よくある質問

What dependencies does Mcp Server Rabel require?

With the basic install, only text storage and LIKE-based search are available. The `[full]` option adds vector search via sqlite-vec and embeddings via Ollama nomic-embed-text. Ollama must be running locally for semantic search.

Does Mcp Server Rabel work without internet?

Yes. It is designed to work entirely offline. No cloud services, tracking, or API keys are needed.

How does search work without vector embeddings?

Without the `[full]` extras, text search uses SQL `LIKE` queries. With embeddings, semantic (vector) search becomes available.

Can I add relations between memories?

Yes. The `rabel_add_relation` tool stores a subject–predicate–object triple, and `rabel_get_relations` retrieves them, enabling a knowledge graph.

What languages are supported for soft pipelines?

Soft pipeline guidance is available in both English and Dutch, more languages are planned.

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