A
licenseB
qualityD
maintenanceEnables text-only AI models to understand clipboard images by describing them through a vision model, eliminating manual file saving.
12
44
MIT
vision-mcp
by hal666
Related Servers
Alternatives to vision-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceGives vision-less LLMs the ability to recognize clipboard screenshots and images by proxying to an OpenAI-compatible vision model.112 npm2MIT
- FlicenseNot gradedqualityDmaintenanceProvides free and unlimited vision capabilities for AI coding assistants using the Groq API and Meta Llama 4 Vision model. It enables users to perform image analysis, OCR, UI layout description, and error diagnosis directly from screenshots and documents.-
- AlicenseAqualityAmaintenanceGives text-only LLM coding agents vision by routing images to a multimodal model and returning detailed textual descriptions. Supports local files, URLs, clipboard, base64, raw bytes, and multiple providers like OpenAI, Anthropic, and Gemini.1124 npm12MIT
- AlicenseAqualityAmaintenanceEnables text-only AI coding agents to analyze images and videos via vision-capable models (Gemini, Grok, OpenRouter), returning text descriptions for reasoning.213 npmMIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables LLMs to capture and analyze screenshots of your screen, windows, or regions with smart detection capabilities. Features natural language queries, automatic window targeting, and text enhancement for UI debugging and visual inspection.2MIT
TDQS
A4.6/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have completely separate purposes: 'vision_see' performs the core image analysis and description, while 'vision_status' checks configuration and clipboard state. There is no overlap or ambiguity in their roles.
Naming Consistency5/5
Both tools follow a consistent 'vision_verb' naming pattern: 'vision_see' and 'vision_status'. The prefix establishes the domain clearly, and the verbs are distinct and descriptive.
Tool Count3/5
With only 2 tools, the server is on the borderline of being too thin for a typical MCP server. While the two tools cover the essential workflow, the set feels minimal and lacks ancillary tools that might be expected (e.g., configuration or image management).
Completeness4/5
The server covers the core use case of analyzing an image and checking readiness. Minor gaps exist (e.g., no explicit error recovery or format listing), but agents can work around these by combining the existing tools or relying on user assistance.
Maintenance
ActivityMaintained
ResponsivenessNo issues