F
licenseNot graded
qualityB
maintenanceExposes Stable Diffusion for text-to-image generation and GPT-SoVITS for text-to-speech synthesis as MCP tools, enabling image and audio generation via natural language.
Vision Model Text Input Generator MCP
by InjectPrompt
Vision Model Text Input Generator MCP
一个将文本渲染为 PNG 画布的 MCP 服务器，用于本地视觉模型。它基于相邻的 Vision-Model-Text-Input-Generator 应用的输出行为。
托管 MCP 端点
生产环境的 Streamable HTTP 端点独立于 LibreChat 部署：
https://vision-model-text-input-generator-mcp-1080561124190.us-central1.run.app/mcp它需要 Authorization: Bearer <MCP_AUTH_TOKEN>。
Related MCP server: image-gen-mcp
本地开发
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
MCP_AUTH_TOKEN=local-development-token python main.py服务器暴露了 generate_vision_text_image。其图像结果是符合标准的 MCP ImageContent（image/png），因此像 LibreChat 这样具备相应能力的客户端可以直接渲染它。
LibreChat 配置
在 librechat.yaml 的 mcpServers 下添加以下内容：
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重启 LibreChat，然后将 vision-text-image 添加到智能体的 MCP 工具中。如果你希望生成的图像被包含在模型的直接上下文中，请使用支持视觉的聊天模型。
验证
安装依赖后，运行随附的本地检查：
python -m py_compile main.py
python verify_mcp.pyThis server cannot be installed
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