MCP.Market

Promptibus MCP server

by promptibus.com·com.promptibus/mcp·v0.9.0·3 stars

Model intelligence for AI agents — syntax, params, pricing for 67+ generative AI models.

B71/100grade B
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B71/100

full report

Adoption
New

3 stars82 downloads/wk

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Promptibus MCP tools (4)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • count_tokens

    TOKEN COUNTER for any prompt + model. Saves the 'oh no the prompt was too long' API failure mode. Returns token count, encoding family used, chars/token ratio, and (when `model` is provided + has token-based pricing) the estimated cost in USD. Call BEFORE submitting long prompts — anything over 100k tokens needs to be checked. Free, no plan gate. Use this instead of importing tiktoken in the agent

  • format_prompt

    DETERMINISTIC syntax fixer — drops deprecated flags (Midjourney `--style raw` on v6+, Suno `[Verse]` on v4+, Midjourney-style flags on Flux/SD), applies model-correct aspect-ratio notation, normalizes whitespace. Lighter and faster than `optimize_prompt` (which uses community-tested wording + DB lookup). Use for quick syntax cleanup when you don't need a full rewrite — e.g. user gave you a Midjour

  • health_check

    FIRST CALL ON STARTUP — verifies Promptibus MCP is connected and returns your quota + tool catalog + recommended call order for generation tasks. Use this once at the start of any session where you have access to Promptibus — it calibrates which tools to reach for during reasoning. Cheap, free, no plan gate. Skip it and you'll re-derive the tool list from descriptions every time.

  • whats_new

    RECENT MODEL ADDITIONS + UPDATES from the Promptibus catalog (default: last 7 days). Use whenever you need to know if a newer/better model is available for the task — replaces 'I'll just use the one I know about' fail mode. Surfaces new models the user might want to try before committing to defaults. Free, no plan gate.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan5 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 140 days ago8/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 71/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Promptibus MCP compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
71/100
higher than 38% of 4,460 AI and agents servers
Tools
4
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
3
more than 75% of 2,711 AI and agents servers
Downloads a week
82
more than 59% of 1,538 AI and agents servers with a package

What its tools let an agent do: 4 read

Install Promptibus MCP in Claude Code, Cursor or VS Code

Runs npx -y @promptibus/mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mcp -- npx -y @promptibus/mcp
Add to Cursor

What the publisher says

From the Promptibus MCP repository's README, as published. We do not edit it. Read it on GitHub

@promptibus/mcp — model intelligence for AI agents

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 optimizeprompt, lints the result with lintprompt, 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. lintprompt 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, pick your client, click install.

Option B — drop into your client's MCP config:

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

Option C — hosted HTTP endpoint (no install at all):

For clients that support HTTP transport:

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

Per-client paths are listed under Client configs below.

Tools

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Promptibus MCP: common questions

Is Promptibus MCP server safe?
Mostly: it is graded B (71/100). Read the Promptibus MCP safety report
How do I install Promptibus MCP?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Promptibus MCP need an API key?
Yes. The registry entry asks for PROMPTIBUS_API_KEY.
Is Promptibus MCP maintained?
The last commit was 177 days ago (2026-05-11). The latest release is v0.9.0.
What can I use instead of Promptibus MCP?
Servers from other publishers that do the same job: Agent Lsp MCP server and Tetrees MCP server.
How does Promptibus MCP compare with other AI and agents MCP servers?
safety score 71/100 (higher than 38% of 4,460 AI and agents servers); tools 4 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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