Is com.promptibus/mcp safe to use?

com.promptibus/mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install com.promptibus/mcp?

com.promptibus/mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with com.promptibus/mcp?

com.promptibus/mcp is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

com.promptibus/mcp

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

0 tools GitHub

No known CVEs

No license

Maintenance unknown

No commit data

Untested

Transport: stdio

0 tools

Grade F

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Untested on Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "com-promptibus-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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Read me

What com.promptibus/mcp does

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

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

15/100across 5 weighted dimensions

How we score →

0255075100

−85

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

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Frequently Asked Questions

Is com.promptibus/mcp safe to use?: com.promptibus/mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install com.promptibus/mcp?: com.promptibus/mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with com.promptibus/mcp?: com.promptibus/mcp is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.

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AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Untested on Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "com-promptibus-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/com-promptibus-mcp)](https://mcppedia.org/s/com-promptibus-mcp)

Read me

What com.promptibus/mcp does

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

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

@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).

Variable	Required	Description
`PROMPTIBUS_API_KEY`	No	API key for higher rate limits and full tool access. Works anonymously without one. Get a key at promptibus.com/settings/api-keys
`PROMPTIBUS_API_URL`	No	Override API base URL (default: `https://promptibus.com`). Useful for testing or self-hosted Promptibus instances.

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).

Tool	Description	Example Input
`recommend_model`	Find the best model for a task. Returns top 3 with reasoning and parameters.	`{ "task": "photorealistic portrait", "domain": "IMAGE" }`
`optimize_prompt`	Optimize a prompt for a specific model. Applies model-specific syntax, community-tested parameters, and best-practice wording.	`{ "text": "a cat in space", "model": "midjourney-v7" }`
`lint_prompt`	Lint a prompt against a model's rules. Finds deprec

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

15/100across 5 weighted dimensions

How we score →

0255075100

−85

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is com.promptibus/mcp safe to use?: com.promptibus/mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install com.promptibus/mcp?: com.promptibus/mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with com.promptibus/mcp?: com.promptibus/mcp is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.