A
licenseNot graded
qualityD
maintenanceEnables text-only LLMs to analyze images by routing them to an OpenAI-compatible vision backend, supporting local files, URLs, and data URLs.
11 npm
MIT
vision-mcp
by Bbsong123
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@vision-mcpAnalyze the circuit diagram in circuit.png and summarize its function."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Multimodal Perception（视觉感知 MCP + Codex Skill）
让 Codex 背后的文本模型拥有"视觉感知能力"：视觉模型作为视觉专家提供观察报告， 主文本模型结合视觉结果完成最终分析、推理和决策。
架构
用户 → Codex + 主文本模型
→ 判断当前推理是否需要视觉信息
→ 需要时调用 analyze_image(image, question) MCP
→ 视觉专家返回观察报告（文本或 JSON）
→ 主模型结合视觉结果继续推理Related MCP server: Image-Vision MCP Server
文件结构
vision-mcp/
├── server.py # FastMCP 入口与 analyze_image(image, question)
├── model_client.py # 单一 OpenAI-compatible 视觉模型客户端
├── config.py # 配置加载（环境变量 / .env）
├── requirements.txt
└── README.md配置
复制 .env.example 为 .env 并填写视觉模型 API Key：
QWEN_API_KEY=sk-...默认使用 Qwen3-VL（qwen3-vl-flash）。可通过环境变量覆盖端点与模型：
VISION_BASE_URL、VISION_MODEL、VISION_PROVIDER、VISION_TIMEOUT 等。
MCP 工具
analyze_image(
image: str, # 本地路径 / http(s) URL / base64 / data URI / PDF
question: str # 主模型希望从图中了解什么
)简单问题（如"这是什么"）→ 返回简洁文本描述。
结构/技术分析（控制框图、电路、图表、工程图等）→ 返回 JSON 视觉报告：
observation/key_elements/preliminary_analysis/possible_issues/uncertainty。
Skill
skills/multimodal-perception/SKILL.md：告诉主模型"你不是纯文本 Agent，
任务依赖视觉信息时调用视觉能力，不要猜测；视觉报告只提供观察与初步判断，
最终推理由主模型完成"。
Codex Desktop 挂载
[mcp_servers.multimodal_router]
command = 'E:\csprogram\vision-mcp\.venv\Scripts\python.exe'
args = [ 'E:\csprogram\vision-mcp\server.py' ]
startup_timeout_sec = 30
[mcp_servers.multimodal_router.env]
PYTHONUTF8 = '1'
PYTHONIOENCODING = 'utf-8'修改配置或代码后需重启 Codex Desktop，并新建会话生效。
This server cannot be deployed
Maintenance
ActivitySlowing
ResponsivenessNo issues
Related MCP Connectors
Turn any LLM multimodal; generate images, voices, videos, 3D models, music, and more.
OCR, transcription, file extraction, and image generation for AI agents via MCP.
Analyze images and videos with Gemini to get fast, reliable visual insights. Handle content from U…
Generate images with your own ChatGPT subscription (Plus, Pro or Team), without spending API credits
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceEnables text-only language models to 'see' and describe images by calling multimodal APIs (OpenAI, Anthropic) for image analysis.-
- FlicenseNot gradedqualityCmaintenanceEnables text-only LLMs to process images by describing them through a configurable vision model.-
- AlicenseNot gradedqualityCmaintenanceEnables text-only LLMs to understand images by converting them into text descriptions, supporting multiple vision backends like cloud APIs, local models, and OCR engines.1MIT