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Add image, video, and audio analysis to text-only AI models.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "multimodal-proxy" yet — see the docs or source repo.
Use multimodal-proxy to analyze this product UI screenshot, extract the main sections, buttons, and visible text, and summarize them in English bullet points.
A text-based analysis of the image that a text-only model can further summarize or use for Q&A.
Use multimodal-proxy to analyze this demo video and describe the main scene changes, key actions, and core information.
A textual description of the video that can be used for later summarization, retrieval, or reporting.
Use multimodal-proxy to analyze this audio clip and summarize the topics discussed, important information, and possible conclusions.
A text analysis of the audio content that helps a text-only model continue processing.
When the main model only supports text, developers can use this MCP tool to outsource image, video, or audio analysis to an external multimodal model and feed the result back as text.
When research or product teams need to process images, videos, and audio in one workflow, they can use it to convert different modalities into text for later summarization and Q&A.
It is an MCP server that adds multimodal capabilities to a text-only main model. It sends image, video, and audio analysis to an external multimodal model and returns the results as text.
Based on the provided description, it supports image, video, and audio analysis. The output is text fed back to the main model.
The known prerequisite is access to an external multimodal model for analysis. For specific installation, configuration, or API key requirements, see the source repository.
Convert images into text descriptions so text-only LLMs can answer visual queries.
Manage multiple MCP servers and load tool schemas on demand efficiently.
Lets text-only models analyze and describe images via multimodal APIs.
Access multiple AI providers in one terminal for generation, search, and comparison.
Proxy multiple MCP servers while reducing token usage with on-demand tool loading.
Connect text-only models to vision APIs for image understanding and analysis.