How do I install Promptibus MCP?
You can install it with one click via Smithery, or configure your MCP client to use the remote HTTP server at `https://promptibus.com/api/mcp`.
@promptibus
基本信息
Model intelligence for AI agents — syntax, parameters, pricing, and routing for 67+ generative AI models (Midjourney, Flux, Suno, Runway, DALL-E, Stable Diffusion). 7 tools that let any MCP client recommend, compare, optimize, and price AI model calls.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"promptibus": {
"url": "https://promptibus.com/api/mcp"
}
}
}Recommend the best AI model for a task. Returns top 3 models with reasoning, parameters, and links.
Optimize a prompt for a specific AI model. Applies model-specific syntax, community-tested parameters, and best-practice wording so the prompt produces better results.
Lint a prompt against a model's rules. Finds errors like deprecated flags, invalid parameters, or length violations, and suggests fixes.
Compare 2-5 AI models side-by-side on provider, domain, cost, and capabilities.
Get recommended parameters for a model, including defaults, ranges, and community-tested configs.
Get a complete model profile: capabilities, syntax guide, parameters, community tips, and related prompts.
Get real-world USD pricing for an AI model, a whole domain, or a planned generation volume. Returns per-unit cost, subscription plans, cheaper alternatives, and total-cost estimates.
Promptibus MCP is a Model Context Protocol server that delivers up-to-date model intelligence for AI agents. It helps agents recommend models, optimize prompts, lint prompts, compare models, retrieve parameters, view model profiles, and obtain pricing for generative AI models like Midjourney, Flux, and DALL‑E.
Install via one‑click Smithery at smithery.ai/server/@promptibus/mcp, or configure your MCP client as a remote HTTP server using the URL https://promptibus.com/api/mcp.
You can install it with one click via Smithery, or configure your MCP client to use the remote HTTP server at `https://promptibus.com/api/mcp`.
It provides seven tools: recommend_model, optimize_prompt, lint_prompt, compare_models, get_parameters, get_model_profile, and get_pricing.
No special runtime is needed for the remote HTTP path; for local installation, any standard MCP host works. The server itself handles model intelligence without additional dependencies.

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