Mcp Server Rabel

by jaspertvdm

309 downloads

Not rated

GitHub

Other

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…

Details

Author: jaspertvdm
Downloads: 309
Categories: Other

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 Rabel

Command (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

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

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.

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

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

🧠 RABEL MCP Server

🚀 Quick Start

Install

More like this

Sequential Thinking

Filesystem

EverArt

Google Drive

Reactive Resume

FastMCP v2 🚀