mcp-server

Name: mcp-server
Author: AtlasCloudAI

Warning

MCP server for Atlas Cloud - AI API aggregation platform for image/video generation and LLM

1stars

0forks

TypeScript

Installation

# Add to your Claude Code skills
git clone https://github.com/AtlasCloudAI/mcp-server

Getting Started

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Security ReportWarning

Last scanned: 5/30/2026

{
  "issues": [
    {
      "type": "npm-audit",
      "message": "@hono/node-server: @hono/node-server: Middleware bypass via repeated slashes in serveStatic",
      "severity": "medium"
    },
    {
      "type": "npm-audit",
      "message": "express-rate-limit: Vulnerability found",
      "severity": "medium"
    },
    {
      "type": "npm-audit",
      "message": "fast-uri: fast-uri vulnerable to path traversal via percent-encoded dot segments",
      "severity": "high"
    },
    {
      "type": "npm-audit",
      "message": "hono: Hono vulnerable to Prototype Pollution possible through __proto__ key allowed in parseBody({ dot: true })",
      "severity": "medium"
    },
    {
      "type": "npm-audit",
      "message": "ip-address: ip-address has XSS in Address6 HTML-emitting methods",
      "severity": "medium"
    },
    {
      "type": "npm-audit",
      "message": "path-to-regexp: path-to-regexp vulnerable to Denial of Service via sequential optional groups",
      "severity": "high"
    },
    {
      "type": "npm-audit",
      "message": "qs: qs has a remotely triggerable DoS: qs.stringify crashes with TypeError on null/undefined entries in comma-format arrays when encodeValuesOnly is set",
      "severity": "medium"
    },
    {
      "type": "npm-audit",
      "message": "undici: Undici: Malicious WebSocket 64-bit length overflows parser and crashes the client",
      "severity": "high"
    }
  ],
  "status": "WARNING",
  "scannedAt": "2026-05-30T17:06:12.999Z",
  "npmAuditRan": true,
  "pipAuditRan": true
}

README.md

Frequently Asked Questions

What is mcp-server?

mcp-server is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by AtlasCloudAI. MCP server for Atlas Cloud - AI API aggregation platform for image/video generation and LLM. It has 1 GitHub star.

Is mcp-server safe to use?

mcp-server returned warnings in SkillsLLM's automated security scan. It has no critical vulnerabilities, but review the flagged issues in the Security Report section before adding it to your workflow.

How do I install mcp-server?

Clone the repository with "git clone https://github.com/AtlasCloudAI/mcp-server" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is mcp-server written in?

mcp-server is primarily written in TypeScript. It is open-source under AtlasCloudAI on GitHub, so you can review or fork the full source.

Are there alternatives to mcp-server?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh mcp-server against similar tools.

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Features

Model Discovery — List and explore 300+ available AI models with pricing and capabilities
Image Generation — Generate images using models like Seedream, Qwen-Image, Flux, Imagen, etc.
Video Generation — Generate videos using models like Kling, Vidu, Seedance, Wan, Hailuo, Veo, etc.
LLM Chat — Chat with LLM models (OpenAI-compatible) including DeepSeek, Qwen, GLM, MiniMax, etc.
Media Upload — Upload local images/media for use with image-editing and image-to-video models
Quick Generate — One-step generation with automatic model search and parameter building
Documentation Search — Search Atlas Cloud docs, models, and API references directly from your IDE
Dynamic Schema — Automatically fetches each model's parameter schema for accurate API usage

Quick Start

Prerequisites

Node.js >= 18
Atlas Cloud API Key — Get one free at atlascloud.ai

IDEs & Editors (JSON Config)

Add to your MCP configuration file — works with all MCP-compatible IDEs and editors:

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": ["-y", "atlascloud-mcp"],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Client	Config File Location
Cursor	Settings → MCP → Add Server
Windsurf	Settings → MCP → Add Server
VS Code (Copilot)	`.vscode/mcp.json` or Settings → MCP
Trae	Settings → MCP → Add Server
Zed	Settings → MCP
JetBrains IDEs	Settings → Tools → AI Assistant → MCP
Claude Desktop	`claude_desktop_config.json`
ChatGPT Desktop	Settings → MCP
Amazon Q Developer	MCP Configuration

VS Code Extensions

These VS Code extensions also support MCP with the same JSON config format:

Extension	Install
Cline	MCP Marketplace → Add Server
Roo Code	Settings → MCP → Add Server
Continue	`config.yaml` → MCP

CLI Tools

# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Goose CLI
goose mcp add atlascloud -- npx -y atlascloud-mcp

For CLI tools, make sure to set the ATLASCLOUD_API_KEY environment variable in your shell.

Skills Version (Claude Code)

If you prefer using Skills instead of MCP, we also offer an Atlas Cloud Skills package for Claude Code and other skill-compatible agents.

Available Tools

Tool	Description
`atlas_search_docs`	Search Atlas Cloud documentation and models by keyword
`atlas_list_models`	List all available models, optionally filtered by type (Text/Image/Video)
`atlas_get_model_info`	Get detailed model info including API schema, parameters, and usage examples
`atlas_generate_image`	Generate images with any supported image model
`atlas_generate_video`	Generate videos with any supported video model
`atlas_quick_generate`	One-step generation — auto-finds model by keyword, builds params, and submits
`atlas_upload_media`	Upload local files to get a URL for use with image-edit / image-to-video models
`atlas_chat`	Chat with LLM models (OpenAI-compatible format)
`atlas_get_prediction`	Check status and result of image/video generation tasks

Usage Examples

Search for models

"Search Atlas Cloud for video generation models"

Your AI assistant will use atlas_search_docs or atlas_list_models to find relevant models.

Generate an image

"Generate an image of a cat in space using Seedream"

The assistant will:

Use atlas_list_models to find Seedream image models
Use atlas_get_model_info to get the model's parameters
Use atlas_generate_image with the correct parameters

Generate a video

"Create a video of a rocket launch using Kling v3"

The assistant will:

Find the Kling video model
Get its schema to understand required parameters
Use atlas_generate_video with appropriate parameters

Upload a local image for editing or video generation

"Edit this image /Users/me/photos/cat.jpg to add a hat"

The assistant will:

Use atlas_upload_media to upload the local file and get a URL
Find an image-editing model
Use atlas_generate_image with the uploaded URL

Note: Uploaded files are for temporary use with Atlas Cloud generation tasks only. Files may be cleaned up periodically. Do not use this as permanent file hosting — abuse may result in API key suspension.

Chat with an LLM

"Ask Qwen to explain quantum computing"

The assistant will use atlas_chat with the Qwen model.

Development

# Install dependencies
npm install

# Build
npm run build

# Run in development mode
npm run dev

License

MIT