Mcp MCP Server

@promptibus/mcp

Model intelligence for AI agents. Syntax, parameters, pricing, and routing for 67+ generative AI models (Midjourney, Flux, Suno, Runway, DALL-E, Stable Diffusion, and more), delivered via the Model Context Protocol.

Promptibus MCP gives your AI agent structured knowledge about generative AI models: which model fits a task, how to format prompts for it, what parameters to use, what a run of 100 images will cost, and what pitfalls to avoid. It's not an API wrapper — it doesn't generate images or music. Instead, it tells your agent how to use the tools it already has access to.

Think of it as a prompt engineering co-pilot embedded in your agent's tool chain.

Supported Clients

Works out of the box with any MCP-compatible client:

• Claude Desktop — edit claude_desktop_config.json
• Claude Code — claude mcp add promptibus -- npx -y @promptibus/mcp
• Cursor — edit .cursor/mcp.json
• Windsurf — edit ~/.codeium/windsurf/mcp_config.json
• Zed — edit settings.json under context_servers
• Continue.dev — edit ~/.continue/config.json
• n8n — MCP Client node, stdio transport
• Any other stdio MCP client

See Client Configs for per-client snippets.

Quick Start

There are three install paths, in rough order of convenience:

1. One-click via Smithery (recommended)

Visit https://smithery.ai/server/@promptibus/mcp, pick your client, click install. Smithery writes the config for you.

2. Remote HTTP endpoint — zero install

For MCP clients that support HTTP transport, point straight at our hosted endpoint:

{
  "mcpServers": {
    "promptibus": {
      "url": "https://promptibus.com/api/mcp"
    }
  }
}

No npm, no process to manage, no local state. Works behind firewalls as long as the client can reach promptibus.com.

3. npm stdio package — offline-capable, full control

{
  "mcpServers": {
    "promptibus": {
      "command": "npx",
      "args": ["-y", "@promptibus/mcp"],
      "env": {
        "PROMPTIBUS_API_KEY": "psy_your_api_key_here"
      }
    }
  }
}

The package talks to the hosted Promptibus API — no database, no server setup. API key is optional (raises rate limits and unlocks all 67+ models).

Tools

All seven tools are available to every tier — including anonymous use without an API key. Tiering applies to rate limits and which models you can query against (see below).

Resources

Model profiles are available as MCP resources at:

promptibus://models/{slug}

Each resource returns a Markdown document with the model's provider, domain, version, pricing, description, and full guide content.

Prompts

The system-prompt prompt provides access to curated system prompts from the Promptibus community.

• Without a slug: lists all available system prompts across IMAGE, VIDEO, AUDIO, TEXT, CODE domains
• With a slug: returns the full prompt content, ready to use as a system message

# List all
system-prompt

# Get specific
system-prompt { "slug": "midjourney-prompt-architect" }

Authentication

Authentication is optional but recommended. Without an API key, you get anonymous-tier access.

1. Create an account at promptibus.com
2. Go to Settings > API Keys
3. Generate a key (starts with psy_)
4. Set PROMPTIBUS_API_KEY in your MCP config

Rate Limits

All tiers get access to all 7 tools. The difference is how many calls you get per day and which models you can query against.

Limits reset daily at midnight UTC. See pricing for plan details.

Caching

To keep things fast and reduce unnecessary API traffic, the client caches responses for four tools whose output changes rarely: get_model_profile, get_parameters, compare_models, get_pricing. Cache TTL is 24 hours, in-memory (per process). Cache is skipped for tools whose output is input-dependent in a way that would get stale (recommend_model, optimize_prompt, lint_prompt).

Supported Models

67+ models across 5 domains:

IMAGE — Midjourney v7, v6.1, v6 | FLUX 2 Pro, 1.1 Pro, Dev, Schnell | Stable Diffusion 3.5, XL | DALL-E 3 | Ideogram 3 | Recraft V3 | Leonardo Phoenix | Google Imagen 3 | and more

VIDEO — Sora | Runway Gen-3 Alpha, Gen-4 | Kling 1.6, 2.0 | Minimax Video-01 | Pika 2.0, 2.2 | Luma Dream Machine | Hailuo | Veo 2 | and more

AUDIO — Suno v4, v3.5 | Udio v1.5 | ElevenLabs | Stable Audio 2.0 | and more

TEXT — GPT-4o | Claude 4 Sonnet | Gemini 2.5 Pro | DeepSeek V3, R1 | Llama 3.3 | and more

CODE — Claude 4 Sonnet | GPT-4o | Gemini 2.5 Pro | DeepSeek V3 | and more

Full list at promptibus.com/models.

Privacy

• Your prompts and tool calls are sent to promptibus.com over HTTPS
• API keys are hashed server-side (SHA-256); the raw key never appears in logs
• Anonymous usage (no key) is rate-limited by IP
• No client-side DB, no local state beyond a single HTTP client

Client Configs

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "promptibus": {
      "command": "npx",
      "args": ["-y", "@promptibus/mcp"]
    }
  }
}

Claude Code

claude mcp add promptibus -- npx -y @promptibus/mcp

Cursor

.cursor/mcp.json in your project (or ~/.cursor/mcp.json globally):

{
  "mcpServers": {
    "promptibus": {
      "command": "npx",
      "args": ["-y", "@promptibus/mcp"]
    }
  }
}

Windsurf

~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "promptibus": {
      "command": "npx",
      "args": ["-y", "@promptibus/mcp"]
    }
  }
}

Zed

settings.json:

{
  "context_servers": {
    "promptibus": {
      "command": {
        "path": "npx",
        "args": ["-y", "@promptibus/mcp"]
      }
    }
  }
}

Continue.dev

~/.continue/config.json, under experimental.modelContextProtocolServers:

{
  "transport": {
    "type": "stdio",
    "command": "npx",
    "args": ["-y", "@promptibus/mcp"]
  }
}

n8n

In the MCP Client node, set transport to stdio:

Command: npx
Arguments: -y @promptibus/mcp

Links

• Website
• Models
• API Keys
• Pricing
• MCP Spec
• Report issues

License

MIT — © Promptibus