Mcp Server Rabel

Name: Mcp Server Rabel
Author: jaspertvdm

@jaspertvdm

Repository

About Mcp Server Rabel

Project description

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

Basic information

Config

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

{
  "mcpServers": {
    "rabel": {
      "command": "python",
      "args": [
        "-m",
        "mcp_server_rabel"
      ],
      "env": {}
    }
  }
}

Tools

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Overview

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

FAQ from Mcp Server Rabel

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.