Nowledge Mem Mcp Desktop Extension

by nowledge-co

243 downloads

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GitHub

Description

About

Details

Author: nowledge-co
Downloads: 243
Categories: AI

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 Nowledge Mem Mcp Desktop Extension

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": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

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": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

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": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

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": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

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": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

From the repository

Install Python 3.13, then download the extension package and double-click to install. For advanced users, the MCP bundle can be built from source using Python 3.13 and the provided requirements. Refer to the Nowledge Mem Documentation for detailed instructions.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "nowledge mem mcp desktop extension": {
            "claude-dxt": {
                "command": "npx",
                "args": [
                    "@anthropic-ai/mcpb",
                    "pack"
                ]
            }
        }
    }
}

McpServers

{
    "claude-dxt": {
        "command": "npx",
        "args": [
            "@anthropic-ai/mcpb",
            "pack"
        ]
    }
}

# Nowledge Mem Claude Desktop Extension ## Demo Screenshots ![Add Memory](https://github.com/user-attachments/assets/45dd1aa5-2bab-4626-a40f-04f6e9a46612) ![Search Memories](https://github.com/user-attachments/assets/cebed3bb-b6f6-41b5-9593-b8d3411d5f85) For more details, please refer to the [Nowledge Mem Documentation](https://mem.nowledge.co/docs). ## End User Installation > See also the end user installation details at [Nowledge Mem Documentation: Claude Desktop](https://mem.nowledge.co/docs/integrations#claude-desktop). 1. Install Python 3.13 ```bash which brew || /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" python3.13 --version || brew install python@3.13 ``` 1. Download Nowledge Mem Claude Desktop Extension and double click to install. ![Install Nowledge Mem Claude Desktop Extension](https://github.com/user-attachments/assets/34ac758d-8cc7-4bb8-9f3f-d41380a36ef9) ## Build the MCP bundle > [!NOTE] > > Python 3.13 is required due to CPython Bug on leveraging dependencies in lib folder. ```bash brew install python@3.13 python3.13 -m pip install -r requirements.txt -U --target server/lib npx @anthropic-ai/mcpb pack ``` <details> <summary><strong>Show Metadata Content</strong></summary> > mcp-name: io.github.nowledge-co/server.json </details>

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Description

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Details

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Setting up with Highlight

From the repository

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