# Promptibus MCP **Category:** 💰 Finance & Fintech **Repository:** https://github.com/promptibus/mcp **Views:** 0 **Installs:** 0 **Upvotes:** 0 **Directory Page:** https://allmcps.com/mcp/promptibus-mcp ## Description Model intelligence for AI agents — syntax, params, pricing for 67+ generative AI models. ## Claude Desktop Quick Installation Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low): ```json "mcpServers": { "promptibus-mcp": { "command": "npx", "args": ["-y","promptibus-mcp"] } } ``` ## Documentation & README # @promptibus/mcp — model intelligence for AI agents [![npm version](https://img.shields.io/npm/v/@promptibus/mcp.svg)](https://www.npmjs.com/package/@promptibus/mcp) [![npm downloads](https://img.shields.io/npm/dm/@promptibus/mcp.svg)](https://www.npmjs.com/package/@promptibus/mcp) [![Smithery](https://smithery.ai/badge/@promptibus/mcp)](https://smithery.ai/server/@promptibus/mcp) [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT) [![MCP](https://img.shields.io/badge/MCP-compatible-0a7cff.svg)](https://modelcontextprotocol.io) [![Powered by Promptibus](https://img.shields.io/badge/powered%20by-promptibus.com-0a7cff.svg)](https://promptibus.com/mcp) [![LobeHub MCP Badge](https://lobehub.com/badge/mcp/promptibus-mcp)](https://lobehub.com/mcp/promptibus-mcp) > Your agent thinks Midjourney still uses `--v 5`. It doesn't — that flag was dropped at v7. > It assumes DALL-E 3 and FLUX Schnell cost the same. They differ by ~50×. > It confidently writes `[Verse]` tags for Suno. They were removed in v4. > > **This MCP server fixes that.** Real syntax, real prices, real recommendations for 67+ generative AI models — over the Model Context Protocol. --- **Works with:** Claude Desktop · Claude Code · Cursor · Windsurf · Zed · Continue.dev · n8n · any stdio MCP client **Domains:** image · video · audio · text · code **Cost to start:** $0, no account, no API key ## See it in action Your agent receives a brief — *"30-second cinematic video of a thunderstorm at sea."* — and instead of guessing, calls a tool. ``` recommend_model({ task: "30s cinematic video, thunderstorm at sea", domain: "VIDEO" }) ``` ``` Top 3 models for: "30s cinematic video, thunderstorm at sea" 1. Runway Gen-4 (Runway) Domain: VIDEO | Cost: 1 credit | Version: latest Improved temporal consistency, camera control, up to 20-second coherent clips. Source: https://promptibus.com/models/runway-gen-4 2. Sora (OpenAI) Domain: VIDEO | Cost: 1 credit | Version: latest Cinematic-quality clips from text prompts. Source: https://promptibus.com/models/sora 3. Veo 2 (Google) Domain: VIDEO | Cost: 1 credit | Version: latest High-fidelity clips with cinematic camera control. Source: https://promptibus.com/models/veo-2 ``` The agent picks one, formats the prompt with `optimize_prompt`, lints the result with `lint_prompt`, checks `get_pricing` for the volume budget — all before a single token of generation cost is spent. ## Why use this - **Stops hallucination.** Your agent answers from a curated DB of 67+ models, not from training data that's 6 months stale. - **Real money, real choices.** `get_pricing({ model: "dall-e-3", volume: 100 })` returns actual USD cost plus cheaper alternatives — agents can finally optimize for budget, not just "vibes." - **Right model for the job.** `recommend_model` ranks across all five domains (image / video / audio / text / code) with reasoning, not guessing. - **Lint before you generate.** `lint_prompt` catches deprecated flags, invalid parameters, and length violations *before* you burn credits. - **Zero friction.** Works anonymously without an account. `npx -y @promptibus/mcp` — that's the install. ## Install in 30 seconds **Option A — Smithery (recommended):** Visit [smithery.ai/server/@promptibus/mcp](https://smithery.ai/server/@promptibus/mcp), pick your client, click install. **Option B — drop into your client's MCP config:** ```json { "mcpServers": { "promptibus": { "command": "npx", "args": ["-y", "@promptibus/mcp"] } } } ``` **Option C — hosted HTTP endpoint (no install at all):** For clients that support HTTP transport: ```json { "mcpServers": { "promptibus": { "url": "https://promptibus.com/api/mcp" } } } ``` Per-client paths are listed under [Client configs](#client-configs) below. ## Tools Every tool is available on every tier — including anonymous. Tiering applies to daily request limits and which models you can query against (free-tier covers 10 popular models; Pro/Studio unlocks all 67+). | Tool | What it does | Example | |---|---|---| | `recommend_model` | Top 3 models for a task, with reasoning + cost. | `{ task: "logo with embedded text", domain: "IMAGE" }` | | `optimize_prompt` | Reformats a prompt for a specific model — applies model-specific syntax + community-tested wording. | `{ text: "a cat in space", model: "midjourney-v7" }` | | `lint_prompt` | Finds deprecated flags, invalid parameters, length violations. Suggests fixes. | `{ prompt: "a cat --ar 16:9", model: "flux-2-pro" }` | | `compare_models` | Side-by-side: provider, domain, cost, capabilities. 2–5 models. | `{ models: ["flux-2-pro","midjourney-v7"], criteria: "photorealism" }` | | `get_parameters` | Recommended parameters: defaults, ranges, community configs. | `{ model: "stable-diffusion-3-5", task_type: "portrait" }` | | `get_model_profile` | Full profile: capabilities, syntax guide, parameters, community tips, related prompts. | `{ model: "suno-v4" }` | | `get_pricing` | Real USD pricing for a model / domain / planned volume. Includes cheaper alternatives. | `{ model: "dall-e-3", volume: 100 }` | ## Use cases **"Which video model gives me the longest single shot under $10?"** → `get_pricing({ domain: "VIDEO", volume: 60 })` returns a sorted matrix; agent picks the cheapest that meets duration. **"Convert this DALL-E prompt to Midjourney v7 syntax."** → `optimize_prompt({ text: "...", model: "midjourney-v7" })` reformats — proper aspect-ratio flag, no `--v`, model-specific suffixes applied. **"Will this Suno prompt work with v4?"** → `lint_prompt({ prompt: "[Verse] ...", model: "suno-v4" })` flags `[Verse]` as deprecated and proposes the v4 structure. **"I need to generate 1000 images at the cheapest viable quality."** → `recommend_model` filters by domain + budget; `get_pricing` validates total cost; agent ships under budget. ## Resources Browsable model profiles as MCP resources: ``` promptibus://models/{slug} ``` Each resource returns a Markdown profile (provider, domain, version, pricing, full guide). Useful for agents that want to surface model info as a sidebar. ## Prompts The `system-prompt` MCP prompt exposes curated system prompts from the Promptibus community. ``` system-prompt # lists all available system-prompt { "slug": "midjourney-prompt-architect" } # returns full text ``` ## Plans & rate limits Anonymous users get full tool access — no account needed. Limits + model coverage scale with plan. | Plan | Daily requests | Model coverage | |---|---|---| | Anonymous (no key) | 25 | 10 free-tier models | | Free (with key) | 100 | 10 free-tier models | | Pro | 500 | All 67+ models | | Studio | 2,000 | All 67+ models | Limits reset daily at midnight UTC. Plans + signup at [promptibus.com/pricing](https://promptibus.com/pricing). ## Authentication Set `PROMPTIBUS_API_KEY` in your client config: ```json { "mcpServers": { "promptibus": { "command": "npx", "args": ["-y", "@promptibus/mcp"], "env": { "PROMPTIBUS_API_KEY": "psy_your_api_key_here" } } } } ``` | Variable | Required | Purpose | |---|---|---| | `PROMPTIBUS_API_KEY` | No | Higher rate limits, full model coverage. Get one at [promptibus.com/settings/api-keys](https://promptibus.com/settings/api-keys). | | `PROMPTIBUS_API_URL` | No | Override the API base (default `https://promptibus.com`). For self-hosted Promptibus or staging. | ## FAQ **Does this generate images, video, or audio?** No. It tells your agent *how* to use whatever generation API the agent already has access to. Think of it as a prompt engineering co-pilot, not a router. **Do I need an account to start?** No. Anonymous mode works out of the box (25 req/day, free-tier models). API key raises limits and unlocks all 67+ models. **Are my prompts logged?** Tool requests transit `promptibus.com` over HTTPS. We don't persist prompt bodies. API keys are SHA-256 hashed server-side; the raw key never lands in logs. **How fresh is the model data?** Community-curated. New models typically appear within days of release; pricing is reviewed monthly. The data lives in a Postgres-backed catalogue at [promptibus.com/models](https://promptibus.com/models). **Does it work offline?** The MCP server runs locally; the catalogue lives at promptibus.com. So: agent ↔ MCP server is local stdio, MCP server ↔ Promptibus is HTTPS. No internet, no answers. **Can I self-host the catalogue?** Yes. The Promptibus app is open-source — clone [promptibus/promptibus](https://github.com/promptibus/promptibus), point `PROMPTIBUS_API_URL` at your deployment. **Is there an HTTP transport instead of stdio?** Yes — point your client at `https://promptibus.com/api/mcp`. Useful for sandboxed environments, browser-based MCP clients, and CI. ## Caching The client caches responses for tools whose output rarely changes (`get_model_profile`, `get_parameters`, `compare_models`, `get_pricing`). TTL: 24 h, in-memory per process. Cache is bypassed for tools whose output is input-dependent (`recommend_model`, `optimize_prompt`, `lint_prompt`). ## Privacy - HTTPS to `promptibus.com`; no third-party trackers in the request path - API keys hashed server-side (SHA-256) - Anonymous usage rate-limited by IP - No client-side database, no local state beyond a single HTTP client ## Client configs The same `npx -y @promptibus/mcp` command works for every stdio client. Only the config file location and JSON shape differ.
Claude Desktop `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows): ```json { "mcpServers": { "promptibus": { "command": "npx", "args": ["-y", "@promptibus/mcp"] } } } ```
Claude Code ```bash claude mcp add promptibus -- npx -y @promptibus/mcp ```
Cursor `.cursor/mcp.json` (project) or `~/.cursor/mcp.json` (global): ```json { "mcpServers": { "promptibus": { "command": "npx", "args": ["-y", "@promptibus/mcp"] } } } ```
Windsurf `~/.codeium/windsurf/mcp_config.json`: ```json { "mcpServers": { "promptibus": { "command": "npx", "args": ["-y", "@promptibus/mcp"] } } } ```
Zed `settings.json`: ```json { "context_servers": { "promptibus": { "command": { "path": "npx", "args": ["-y", "@promptibus/mcp"] } } } } ```
Continue.dev `~/.continue/config.json`, under `experimental.modelContextProtocolServers`: ```json { "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 ```
## Supported models **67+ models across 5 domains.** Highlights: - **IMAGE** — Midjourney v7 / v6.1 · FLUX 2 Pro / 1.1 Pro · Stable Diffusion 3.5 · DALL-E 3 · GPT Image 1 · Ideogram 3 · Recraft V4 Pro · Imagen 4 Ultra · Leonardo Phoenix - **VIDEO** — Sora · Runway Gen-3 / Gen-4 · Kling 2.5 · Pika 3 · Luma Dream Machine · Hailuo · Seedance 2 · Veo 2 · LTX 2.3 · Helios - **AUDIO** — Suno v4 / v5 · Udio 2 · ElevenLabs · Hume AI · Stable Audio 2 · MusicGen · ACE-Step - **TEXT** — GPT-5 / 5.4 · Claude 4 Opus / Sonnet · Claude Sonnet 4.6 · Gemini 3.1 Pro / 2.5 Pro · DeepSeek R2 · Llama 4 Maverick · Grok 3 - **CODE** — Claude Code · Cursor · Windsurf · Codex CLI · Devin · Augment Code · Aider · Copilot · DeepSeek V3 · Nemotron 3 Super Full catalogue: [promptibus.com/models](https://promptibus.com/models). ## ⭐ Help others find this If `@promptibus/mcp` saves your agent from a wrong-syntax run or a $50 surprise on DALL-E volume, [drop a star](https://github.com/promptibus/mcp) on the repo. Stars are how new MCP users discover quality servers in a sea of generic wrappers — it costs you a click and the next person ships faster. [![Star this repo](https://img.shields.io/github/stars/promptibus/mcp?style=social)](https://github.com/promptibus/mcp/stargazers) ## Links - **Website:** [promptibus.com](https://promptibus.com) - **All models:** [promptibus.com/models](https://promptibus.com/models) - **API keys:** [promptibus.com/settings/api-keys](https://promptibus.com/settings/api-keys) - **Pricing:** [promptibus.com/pricing](https://promptibus.com/pricing) - **Issues:** [github.com/promptibus/mcp/issues](https://github.com/promptibus/mcp/issues) - **Main app source:** [github.com/promptibus/promptibus](https://github.com/promptibus/promptibus) - **MCP spec:** [modelcontextprotocol.io](https://modelcontextprotocol.io) ## License MIT — © Promptibus