Mcp Server Rabel
About
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…
Explore
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Mcp Server RabelCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
rabel_hello
Test if RABEL is working
rabel_add_memory
Add a memory (fact, experience, knowledge)
rabel_search
Semantic search through memories
rabel_add_relation
Add graph relation (A --rel--> B)
rabel_get_relations
Query the knowledge graph
rabel_get_guidance
Get soft pipeline hints (EN/NL)
rabel_next_step
What should I do next?
rabel_stats
Memory statistics
| Tool | Description |
|------|-------------|
| rabel_hello | Test if RABEL is working |
| rabel_add_memory | Add a memory (fact, experience, knowledge) |
| rabel_search | Semantic search through memories |
| rabel_add_relation | Add graph relation (A --rel--> B) |
| rabel_get_relations | Query the knowledge graph |
| rabel_get_guidance | Get soft pipeline hints (EN/NL) |
| rabel_next_step | What should I do next? |
| rabel_stats | Memory statistics |
---
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp server rabel": {
"rabel": {
"command": "python",
"args": [
"-m",
"mcp_server_rabel"
],
"env": []
}
}
}
}McpServers
{
"rabel": {
"command": "python",
"args": [
"-m",
"mcp_server_rabel"
],
"env": []
}
}🧠 RABEL MCP Server
Recidive Active Brain Environment Layer
> Local-first AI memory with semantic search, graph relations, and soft pipelines.
> Mem0 inspired, HumoticaOS evolved.
By Jasper & Root AI from HumoticaOS 💙
---
🚀 Quick Start
```bash
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