Vison-MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| VISIONAI_API_KEY | Yes | API authentication key | |
| VISIONAI_BASE_URL | Yes | OpenAI-compatible API endpoint | |
| VISIONAI_MODEL_NAME | No | Vision model to use | gpt-4o |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| image_analysisB | Analyze any image with a general vision model. Returns a detailed description of the image content, key elements, text, colors, layout, and context clues. |
| extract_text_from_screenshotA | Extract text from screenshots. Optimized for terminals, code editors, documents, and general content. Returns extracted text preserving original structure. |
| ui_to_artifactA | Convert UI screenshots into structured deliverables: production-ready code, image-generation prompts, technical specifications, or detailed descriptions. |
| diagnose_error_screenshotA | Analyze error screenshots (build errors, runtime errors, stack traces) and propose actionable fixes with root cause analysis. |
| understand_technical_diagramA | Interpret architecture diagrams, flowcharts, UML, ER, sequence, and system topology diagrams. Returns structured analysis of components, relationships, design patterns, and improvement suggestions. |
| analyze_data_visualizationA | Read charts, dashboards, and statistical visualizations to surface insights, trends, patterns, and anomalies with actionable recommendations. |
| ui_diff_checkA | Compare two UI screenshots — design vs implementation — to identify visual differences, layout drift, style inconsistencies, missing elements, and typography discrepancies. |
| video_analysisA | Inspect videos (local files ≤8MB, remote URLs) to describe scenes, detect events, and answer questions about visual moments. Supports MP4, MOV, M4V. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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/Lin-zhibo/Vison-MCP'
If you have feedback or need assistance with the MCP directory API, please join our Discord server