A
licenseA
qualityB
maintenanceAn MCP server providing vision understanding tools (image QA, OCR, video and document understanding) via OpenAI-compatible endpoints, defaulting to Zhipu GLM vision models.
4
MIT
glm-vision-mcp
by JJChou000
Related Servers
Alternatives to glm-vision-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceThis MCP server gives pure-text LLM agents vision capabilities by integrating the free GLM-4.6V-Flash visual model, enabling image, video, and file understanding through standard MCP tools.31MIT
- 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 gradedqualityCmaintenanceA local MCP server that adds image recognition to text-only LLMs by sending images to Zhipu's free vision models, supporting local files, URLs, and base64 inputs with automatic model fallback.1MIT
- 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-
- AlicenseNot gradedqualityCmaintenanceAn enhanced MCP server for Z.AI vision understanding that supports custom OpenAI-compatible endpoints and provides 8 vision tools for image/video analysis, including image understanding, OCR, UI-to-code, diagram comprehension, and error diagnosis.1MIT
TDQS
A4.3/5.0
Scored across 8 tools
Disambiguation5/5
Each tool targets a distinct visual input type (UI, text, error, diagram, data viz, diff, generic, video) with explicit 'do not use for' boundaries. The generic analyze_image is clearly positioned as a fallback, preventing overlap with specialized tools.
Naming Consistency4/5
All names use snake_case, but verb-first pattern is inconsistent: ui_to_artifact and ui_diff_check are noun-first while others are verb-first. Still, the style is uniform and readable.
Tool Count5/5
8 tools is well-scoped for a vision analysis server, covering major categories of visual understanding without unnecessary bloat.
Completeness5/5
The tool surface covers UI conversion, OCR, error diagnosis, diagrams, data visualization, diff checking, generic image analysis, and video analysis—a comprehensive set for the domain. The fallback analyze_image ensures no dead ends.
Maintenance
ActivityMaintained
ResponsivenessNo issues