llm-vision-mcp-2
Provides vision capabilities to text-only LLMs by analyzing image files via Qwen-VL and returning textual descriptions, with support for OCR, UI analysis, diagram/chart understanding, and code extraction through MCP stdio.
- Score
- 52.4982 signals
- Evidence
- 5 stars · 1 fork
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
Alternatives · MCPs
- arcadeai-blueprint731 stars · 68 forks97.084
- sunriseapps-imagesorcery329 stars · 51 forks95.828
- wrale-tree-sitter310 stars · 40 forks95.526
What it is
Provides vision capabilities to text-only LLMs by analyzing image files via Qwen-VL and returning textual descriptions, with support for OCR, UI analysis, diagram/chart understanding, and code extraction through MCP stdio.
When to use it
Provides vision capabilities to text-only LLMs by analyzing image files via Qwen-VL and returning textual descriptions, with support for OCR, UI analysis, diagram/chart understanding, and code extraction through MCP stdio.
How to install / invoke
See Glama for the install config.
Notes
Listed from the Glama MCP registry.