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Glint Model Hub MCP Setup & Guide

MCP ServerMCP RegistryOfficial

io.github.zzzjy765/glint-image · v1.0.0

Generate and edit images with every image model on the platform. Returns the image to the agent.

Overview

Generate and edit images with every image model on the platform. Returns the image to the agent. Glint Model Hub — image generation for AI agents is a MCP Server listed from MCP Registry. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

Use cases

Code review & GitHubDesign & creativeCursor essentials

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-10-04
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from official-mcp-registry
Verified ClientsClaude Code、Claude Desktop、Cursor 等
Security Tier: A+ 级 · 官方认证推荐 (A+)·Maintained by official/verified teams, audited for standard MCP protocol compliance.
No auto-generated install guide — see the source repository README.

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for Glint Model Hub — image generation for AI agents

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for Glint Model Hub — image generation for AI agents?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet
# Check binary path in terminal:
which npx
node -v
Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Still not connecting? Read the MCP troubleshooting guide →

Tool Mock Playground

Sandbox

Glint Model Hub — image generation for AI agents Tool Interface Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: glint_imageExecute the core tool interface of Glint Model Hub — image generation for AI agents
Request ArgumentsJSON Schema
{
  "target": "Glint Model Hub — image generation for AI agents",
  "action": "execute",
  "options": {
    "mode": "standard",
    "timeoutMs": 5000
  }
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • PR review
  • Changelog generation
  • Cross-repo issue search
When NOT to Use
  • Replacing human security audit
  • Unauthorized repo access
Recommended Workflow Pairing:View Scenario →

Glint Model Hub — image generation for AI agents + Scenario Prompt → Complete Agent Automation

MCP hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

Related resources

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Keep exploring AgentHub

Most people compare similar tools or check scenario guides before installing—start here.

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Listing badge: put AgentHub on your site

Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.

PreviewListed on AgentHub: Glint Model Hub — image generation for AI agents
HTML
<a href="https://myagenthub.cn/p/io.github.zzzjy765/glint-image" title="Listed on AgentHub: Glint Model Hub — image generation for AI agents" target="_blank" rel="noopener">
  <img src="https://myagenthub.cn/badge/io.github.zzzjy765/glint-image?lang=en" alt="Listed on AgentHub: Glint Model Hub — image generation for AI agents" height="20" style="border:0"/>
</a>
Markdown (GitHub README)
[![Listed on AgentHub: Glint Model Hub — image generation for AI agents](https://myagenthub.cn/badge/io.github.zzzjy765/glint-image?lang=en)](https://myagenthub.cn/p/io.github.zzzjy765/glint-image)

Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.

Unified Manifest

{
  "id": "io.github.zzzjy765/glint-image",
  "type": "mcp-server",
  "version": "1.0.0",
  "displayName": "Glint Model Hub — image generation for AI agents",
  "description": "Generate and edit images with every image model on the platform. Returns the image to the agent.",
  "distribution": {
    "packages": [],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode",
    "trae",
    "cherry-studio",
    "lingma",
    "windsurf",
    "cline",
    "workbuddy"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "io.github.zzzjy765/glint-image",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.zzzjy765%2Fglint-image/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}
Glint Model Hub MCP Setup & Guide - AgentHub