A
licenseB
qualityA
maintenanceA lightweight MCP server for image analysis using any OpenAI-compatible API endpoint, enabling AI agents to analyze images via a single tool.
Last updated
1
68
MIT
z_ai_vision_mcp_server_clone
by 1orZero
Provides tools for image analysis using OpenAI-compatible vision models. Allows AI agents to analyze images, extract text, diagnose screenshots, understand technical diagrams, analyze data visualizations, check UI differences, and convert UI to artifacts via any OpenAI-compatible vision API endpoint.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@z_ai_vision_mcp_server_cloneDiagnose this error screenshot"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
z_ai_vision_mcp_server_clone
OpenAI-compatible MCP server for running image analysis tools against your own vision model endpoint.
Tools
ui_to_artifactextract_text_from_screenshotdiagnose_error_screenshotunderstand_technical_diagramanalyze_data_visualizationui_diff_checkanalyze_image
Related MCP server: imagine-mcp
Configuration
Set either VISION_ENDPOINT or VISION_BASE_URL.
Variable | Required | Description |
| Yes, unless | Full chat completions endpoint. |
| Yes, unless | Base URL; |
| Yes | Vision model name sent in the request body. |
| No | Bearer token. Omit for local endpoints that do not require auth. |
| No | Label for your provider. Defaults to |
| No | Local image size limit. Defaults to |
| No | Request timeout. Defaults to |
| No | Optional model temperature. |
| No | Optional model top_p. |
| No | Optional max_tokens. |
You can also place these values in a local .env file in the working directory where the server starts. Real environment variables override .env values.
Run
npm install
npm run build
VISION_ENDPOINT=http://localhost:11434/v1/chat/completions VISION_MODEL=llava npm startOr with .env:
npm startMCP Client Example
{
"mcpServers": {
"z-ai-vision-clone": {
"type": "stdio",
"command": "npx",
"args": ["-y", "z_ai_vision_mcp_server_clone"],
"env": {
"VISION_ENDPOINT": "https://your-provider.com/v1/chat/completions",
"VISION_MODEL": "your-vision-model",
"VISION_API_KEY": "your-api-key"
}
}
}
}Maintenance
–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseBqualityAmaintenanceProduction-grade MCP server for image and video understanding and generation across Gemini, OpenAI, and Grok.Last updated54Apache 2.0
- Alicense-qualityCmaintenanceAn MCP server that enables any LLM to describe images from file paths, URLs, or base64 data by forwarding them to a supported vision provider such as OpenAI, Anthropic, or local Ollama models.Last updated1,9396MIT
- AlicenseAqualityBmaintenanceMCP server that provides an analyze_image tool using OpenAI-compatible vision LLMs to describe images from file paths, URLs, or base64 data.Last updated21231MIT
Related MCP Connectors
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
OCR, transcription, file extraction, and image generation for AI agents via MCP.
MCP server exposing the Backtest360 engine API as tools for AI agents.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/1orZero/z_ai_vision_mcp_server_clone'
If you have feedback or need assistance with the MCP directory API, please join our Discord server