INDIVIDUAL MCP TOOL
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.
LIVE ENDPOINT
https://prompt-generator-website.com/mcp
Connect to this endpoint to inspect the live schema for generate_spec and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
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.
Related tools
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.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.get_usage— Current plan and quota usage (specs and AI drafts) for the API key, or for this address when no key is set.