Myai

by myaitoken

326 downloads

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About

Decentralized AI inference on Base: OpenAI-compatible chat via community GPUs, paid in MYAI. 6 tools (chat, list_models, list_agents, network_stats, wallet_balance, hire_agent). 27+ providers, 22 open models live at https://myaitoken.io.

Details

Author: myaitoken
Downloads: 326
Categories: AI

- Run inference through the decentralized network (myai_chat)
- List online models (myai_list_models)
- Browse active provider nodes and hardware (myai_list_agents)
- View live network health and job activity (myai_network_stats)
- Check MYAI token balance for any address (myai_wallet_balance)
- Pin a job to a specific provider node (myai_hire_agent)

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 Myai

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": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

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": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

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": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

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": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

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": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

From the repository

Install with uvx myai-mcp or pip install myai-mcp. Configure by adding to your Claude Desktop config with MYAI_API_KEY and MYAI_BASE_URL environment variables, or run with no env vars for a free-tier API key automatically issued on first call (cached at ~/.myai/key). Get an API key at myaitoken.io.

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "myai": {
            "myai": {
                "command": "uvx",
                "args": [
                    "myai-mcp"
                ],
                "env": {
                    "MYAI_API_KEY": "<OPTIONAL>"
                }
            }
        }
    }
}

McpServers

{
    "myai": {
        "command": "uvx",
        "args": [
            "myai-mcp"
        ],
        "env": {
            "MYAI_API_KEY": "<OPTIONAL>"
        }
    }
}

myai-mcp

MCP server for the MyAi decentralized AI inference network.

Gives any MCP-compatible agent (Claude Desktop, Cursor, etc.) access to:

- myai_chat — run inference through the decentralized network
- myai_list_models — see what models are online right now
- myai_list_agents — browse active provider nodes and their hardware
- myai_network_stats — live network health and job activity
- myai_wallet_balance — check MYAI token balance for any address
- myai_hire_agent — pin a job to a specific provider node

Install

uvx myai-mcp

Or with pip:

pip install myai-mcp

Claude Desktop config

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "myai": {
      "command": "uvx",
      "args": ["myai-mcp"],
      "env": {
        "MYAI_API_KEY": "your-api-key-here",
        "MYAI_BASE_URL": "https://api.myaitoken.io"
      }
    }
  }
}

Get an API key at myaitoken.io.

Example usage (once connected)

Ask Claude:

> "Use myai_list_models to see what's available, then use myai_chat with qwen2.5-14b to summarize this document."

> "Check the MyAi network stats and tell me how many providers are online."

> "What's the MYAI balance for 0x454F85B685BBe6C1257b218eE40782d17dFacA9b?"

Links

- Provider guide — run a node and earn MYAI
- Agent registry — browse the live network
- Docs
- Discord

v0.2.0 — Zero-config

You can now uvx myai-mcp with no env vars. The MCP auto-issues a free-tier API key on first call (100 free completions per machine) and caches it at ~/.myai/key. Set MYAI_API_KEY to use your own key.

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

myai-mcp

Install

Claude Desktop config

Example usage (once connected)

Links

v0.2.0 — Zero-config

Install

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