pulsemcp scanned Safe content atomic mcp-remote

ModelScope Qwen-Image

This MCP server provides text-to-image generation capabilities through integration with ModelScope's Qwen-Image model, built by zym9863 as a Python-based implementation using the MCP framework. The server offers a single tool for generating images from text prompts, handling the API communication with ModelScope's hosted Qwen-Image service and returning generated images as base64-encoded data with automatic format detection and error handling. Built with dependencies including Pillow for image processing, python-dotenv for configuration management, and the official MCP Python SDK, it features environment-based API key configuration and is designed for AI assistants and applications that need programmatic access to Chinese-developed text-to-image generation models, particularly useful for multilingual content creation and scenarios requiring alternatives to Western AI image generation services.

Cognium trust score

64%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/zym9863/modelscope-image-mcp
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve ModelScope Qwen-Image from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"