Promptheus

by abhichandra21

322 downloads Not rated yet

GitHub Website

About

AI-powered prompt refinement tool with adaptive questioning and multi-provider support. Provides 5 MCP tools (refine_prompt, tweak_prompt, list_models, list_providers, validate_environment) for intelligent prompt engineering. Supports Google Gemini, Anthropic Claude, OpenAI, Groq

Explore

🧠 Adaptive Task Detection
Automatically detects whether your task needs refinement or direct optimization

⚡ Interactive Refinement
Ask targeted questions to elicit requirements and improve outputs

📝 Pipeline Integration
Works seamlessly in Unix pipelines and shell scripts

🔄 Session Management
Track, load, and reuse past prompts automatically

📊 Telemetry & Analytics
Anonymous usage and performance metrics tracking for insights (local storage only, can be disabled)

🌐 Web Interface
Beautiful UI for interactive prompt refinement and history management

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 Promptheus

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": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

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": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

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": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

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": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

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": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

From the repository

pip install promptheus

``bash


promptheus telemetry summary
Test environment configuration and API connectivity.

Inputs: -providers(optional): Specific providers to validate -test_connection (optional): Test actual API connectivity

Returns: -{"type": "success", "validation": {"google": {"configured": true, "connection_test": "passed"}}}`

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "promptheus": {
            "promptheus": {
                "type": "stdio",
                "command": "~/Promptheus/venv/bin/python",
                "args": [
                    "-m",
                    "promptheus.main",
                    "mcp"
                ],
                "env": {
                    "ANTHROPIC_API_KEY": "API-KEY"
                }
            }
        }
    }
}

McpServers

{
    "promptheus": {
        "type": "stdio",
        "command": "~/Promptheus/venv/bin/python",
        "args": [
            "-m",
            "promptheus.main",
            "mcp"
        ],
        "env": {
            "ANTHROPIC_API_KEY": "API-KEY"
        }
    }
}

Refine and optimize prompts for LLMs