vipergpt-visual-qa
Provides visual question-answering capabilities through a mixture-of-experts approach that combines multiple vision models to handle visual grounding, compositional image analysis, and knowledge-dependent visual reasoning tasks by generating and executing Python code.
- Score
- 38.0662 signals
- Evidence
- 2 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.
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What it is
MCP server ViperGPT Visual Question Answering, catalogued on PulseMCP. Provides visual question-answering capabilities through a mixture-of-experts approach that combines multiple vision models to handle visual grounding, compositional image analysis, and knowledge-dependent visual reasoning tasks by generating and executing Python code.
When to use it
Provides visual question-answering capabilities through a mixture-of-experts approach that combines multiple vision models to handle visual grounding, compositional image analysis, and knowledge-dependent visual reasoning tasks by generating and executing Python code.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.