INDIVIDUAL MCP TOOL

get_usage

Current plan and quota usage (specs and AI drafts) for the API key, or for this address when no key is set.

prompt-generator-website.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://prompt-generator-website.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_usage and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.prompt-generator-website]
url = "https://prompt-generator-website.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "prompt-generator-website": {
      "type": "http",
      "url": "https://prompt-generator-website.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: prompt-generator-website
Remote MCP URL: https://prompt-generator-website.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "prompt-generator-website": {
      "url": "https://prompt-generator-website.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "prompt-generator-website": {
      "type": "http",
      "url": "https://prompt-generator-website.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "prompt-generator-website",
  "transport": "streamable-http",
  "url": "https://prompt-generator-website.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

list_project_types — The project types the spec generator knows (saas, ecommerce, business, marketplace, blog, webapp, landing), with what each covers.
get_questionnaire — The questions for one project type: universal questions first, then type-specific ones.
generate_spec — Turns questionnaire answers into a complete build specification (stack, database schema, auth flows, pages, design system, SEO, security, legal, deployment, file structure) and the matching agent files.
draft_answers — Asks the server's AI (Claude) to fill the whole questionnaire from a plain-language project description; returns the project type, the answers and the assumptions it made.