videre-mcp
Dev Tools
Local
Bridges vision models to text-only coding models using Florence-2, enabling non-vision LLMs to describe images, extract text, and analyze screenshots via MCP tools.
How to connect
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Glama registry
View https://glama.ai/mcp/servers/en9vy4l0zg for deploy options, or install from https://github.com/Veedubin/Videre-MCP (see README for MCP config).
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GitHub
Install from https://github.com/Veedubin/Videre-MCP and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Use Connect or Install above, then open your MCP client to see the live tool list.