F
licenseNot graded
qualityD
maintenanceA versatile MCP server that adds vision capabilities (image analysis, OCR, image/video generation) to AI models lacking native vision, with support for multiple providers and automatic task routing.
1
-
Luma MCP
by JochenYang
Related Servers
Alternatives to Luma MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceMCP server for image recognition, supporting multiple vision backends (Anthropic, Zhipu, Ollama) to describe, answer questions, and analyze images.317 npm1MIT
- FlicenseNot gradedqualityCmaintenanceMCP server that gives text-only models vision capabilities via free GLM vision models, supporting image description, OCR, chart/document analysis, and grounding with automatic model fallback.1-
- AlicenseAqualityBmaintenanceAn MCP server providing vision understanding tools (image QA, OCR, video and document understanding) via OpenAI-compatible endpoints, defaulting to Zhipu GLM vision models.4MIT
- FlicenseNot gradedqualityCmaintenanceAn MCP server that leverages Zhipu's free GLM-4.6V-Flash vision model to enable image, video, and file understanding (OCR, table parsing, defect detection, document Q&A, and more) across MCP-compatible clients like Codex and Claude Desktop.-
- AlicenseNot gradedqualityDmaintenanceLocal MCP server that provides multi-modal vision capabilities to single-modal base models via API, supporting multi-turn iterative image recognition and document image parsing.6 npmApache 2.0
TDQS
A4.4/5.0
Scored across 1 tool
Disambiguation5/5
Only one tool exists, so there is no possibility of misselection between tools. The tool's purpose is clearly defined with explicit call conditions and task types.
Naming Consistency5/5
The server has a single tool named 'image_understand' in snake_case. With only one tool, there is no naming pattern to conflict; the name is descriptive and consistent with a verb-adjacent structure.
Tool Count3/5
The server exposes exactly one tool. While the tool is comprehensive and well-designed, a single tool feels thin for an MCP server per the calibration guidelines, placing it in the borderline category.
Completeness5/5
The image_understand tool covers a broad range of use cases (general understanding, OCR, UI analysis, debugging, and description) via its task_type parameter. It provides a complete lifecycle for image understanding, with no obvious missing operations within its stated scope.
Maintenance
ActivitySlowing
ResponsivenessResponsive