Enhance Prompt MCP Server (PromptPilot)

What does “Enhance Prompt” MCP Server do?

The Enhance Prompt MCP Server, also known as PromptPilot, is designed to assist users in generating and enhancing prompts for generative AI models. It serves as a bridge between AI assistants and external services, offering both quick prompt generation based on user keywords and a guided, conversational interface that walks users through refining their prompt requirements. By providing structured workflows for prompt creation, it empowers developers and end-users to standardize and improve the quality of AI-generated responses. The server is tailored for integration into broader development workflows, enabling tasks such as rapid prompt prototyping and interactive prompt enhancement for a variety of AI applications.

List of Prompts

No explicit prompt templates are listed in the available documentation or repository files.

List of Resources

No explicit MCP resources are documented or listed in the available repository files.

List of Tools

No explicit MCP tools are defined or listed in the available repository files (e.g., server.py or equivalent).

Use Cases of this MCP Server

• Rapid Prompt Prototyping: Developers can quickly generate basic prompts from keywords or phrases, accelerating the initial stages of AI model experimentation.
• Conversational Prompt Refinement: The guided Q&A interface helps users iteratively refine their prompts through an interactive, chat-based workflow, resulting in more effective AI outputs.
• Prompt Quality Improvement: By leveraging AI-driven enhancement, users can elevate the relevance and detail of their prompts, leading to higher quality and more targeted results.
• Integration with Development Workflows: The server can be incorporated into broader toolchains, enabling automated prompt generation and enhancement as part of continuous integration or deployment processes.

How to set it up

Windsurf

1. Ensure Node.js and npm are installed.
2. Clone the repository:
   git clone https://github.com/FelixFoster/mcp-enhance-prompt
3. Install dependencies:
   npm install
4. Build the project:
   npm run build
5. Run the server:
   node build/index.js (or use Docker/npx as needed).
6. Add the server to your Windsurf configuration (example below).

{
  "mcpServers": {
    "enhance-prompt": {
      "command": "npx",
      "args": ["-y", "enhance-prompt-server"],
      "env": {
        "API_KEY": "${ENHANCE_API_KEY}"
      }
    }
  }
}

Note: Secure API keys using environment variables as shown above.

Claude

1. Install Node.js and npm.
2. Clone and set up the repository as above.
3. Add the server to your Claude configuration.

{
  "mcpServers": {
    "enhance-prompt": {
      "command": "npx",
      "args": ["-y", "enhance-prompt-server"],
      "env": {
        "API_KEY": "${ENHANCE_API_KEY}"
      }
    }
  }
}

Note: Use environment variables for sensitive data.

Cursor

1. Prerequisites: Node.js, npm.
2. Clone and build as described.
3. Add the MCP server in Cursor’s configuration.

{
  "mcpServers": {
    "enhance-prompt": {
      "command": "npx",
      "args": ["-y", "enhance-prompt-server"],
      "env": {
        "API_KEY": "${ENHANCE_API_KEY}"
      }
    }
  }
}

Note: Use environment variables for security.

Cline

1. Install required tools (Node.js, npm).
2. Setup as per instructions above.
3. Add the server in Cline’s configuration.

{
  "mcpServers": {
    "enhance-prompt": {
      "command": "npx",
      "args": ["-y", "enhance-prompt-server"],
      "env": {
        "API_KEY": "${ENHANCE_API_KEY}"
      }
    }
  }
}

Note: Secure your configuration by using environment variables for API keys.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "enhance-prompt": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent can use this MCP as a tool with access to all its functions and capabilities. Remember to change “enhance-prompt” to your MCP server’s actual name and set the correct URL.

Overview

| Roots Support | Not documented | | Sampling | Not documented |

Our opinion

The Enhance Prompt MCP Server (PromptPilot) provides a clear and straightforward setup process with strong documentation on installation and integration. However, the absence of explicit prompt templates, MCP resources, or tools reduces its immediate utility as a standardized MCP server. Its setup instructions and focus on security are strong points, but the lack of deeper MCP-specific features limits its score for advanced users.

Rating: 5/10

MCP Score