Vision Model Text Input Generator MCP

An MCP server that renders text into PNG canvases for local vision models. It is based on the output behavior of the adjacent Vision-Model-Text-Input-Generator app.

Hosted MCP endpoint

The production Streamable HTTP endpoint is deployed separately from LibreChat:

https://vision-model-text-input-generator-mcp-1080561124190.us-central1.run.app/mcp

It requires Authorization: Bearer <MCP_AUTH_TOKEN>.

Related MCP server: image-gen-mcp

Local development

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
MCP_AUTH_TOKEN=local-development-token python main.py

The server exposes generate_vision_text_image. Its image result is standards-compliant MCP ImageContent (image/png), so capable clients such as LibreChat can render it directly.

LibreChat configuration

Add the following under mcpServers in librechat.yaml:

mcpServers:
  vision-text-image:
    title: Text to Image Text
    type: streamable-http
    url: https://vision-model-text-input-generator-mcp-1080561124190.us-central1.run.app/mcp
    requiresOAuth: false
    headers:
      Authorization: 'Bearer ${VISION_TEXT_IMAGE_MCP_TOKEN}'
    serverInstructions: true

Restart LibreChat, then add vision-text-image to an agent's MCP tools. Use a vision-capable chat model when you want the generated image to be included in the model's immediate context.

Verify

Run the supplied local checks after installing dependencies:

python -m py_compile main.py
python verify_mcp.py