Akasha Mcp Server

by ocuil

271 downloads

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GitHub

Other
AI

Description

Give your AI agents persistent shared memory. Akasha MCP Server provides 10 tools for reading, writing, querying, and organizing knowledge across conversations. Features cognitive memory layers (working/episodic/semantic/procedural), stigmergic coordination (pheromone signals…

About

Details

Author: ocuil
Downloads: 271
Categories: Other, AI

- 10 tools for knowledge read/write/query/organize
- Four cognitive memory layers: working, episodic, semantic, procedural
- Stigmergic coordination with pheromone signals for multi-agent systems
- Automatic memory consolidation across conversations
- Compatible with Claude Desktop, Cursor, and any MCP client

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 Akasha Mcp Server

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": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

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": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

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": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

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": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

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": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

From the repository

Install and configure Akasha Mcp Server as an MCP server for your chosen client (Claude Desktop, Cursor, etc.). Once running, your AI agent can use its 10 tools to create, retrieve, update, and consolidate memory across sessions.

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "akasha mcp server": {
            "akasha": {
                "command": "uvx",
                "args": [
                    "--from",
                    "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
                    "akasha-mcp"
                ],
                "env": {
                    "AKASHA_API_URL": "http://localhost:8080"
                }
            }
        }
    }
}

McpServers

{
    "akasha": {
        "command": "uvx",
        "args": [
            "--from",
            "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
            "akasha-mcp"
        ],
        "env": {
            "AKASHA_API_URL": "http://localhost:8080"
        }
    }
}

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Description

About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

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