Structured visual analysis pipeline for coding agents - give your AI agent the ability to see
Project description
Page Vision MCP
Structured visual analysis pipeline for coding agents — give your AI agent the ability to see.
What It Does
Page Vision MCP turns visual analysis from a prompt into a tool. Instead of asking an LLM to "look at this image," your coding agent calls a structured API that returns consistent, machine-readable results with coordinates.
5 Tools:
| Tool | What It Does | VLM | Playwright |
|---|---|---|---|
capture_page |
Screenshot a webpage (fallback) | - | Yes |
analyze_ui |
Structured UI analysis with region-level localization | Yes | - |
compare_ui |
Screenshot diff with mode constraints | Yes | - |
extract_text |
Block-level OCR with coordinates | Yes | - |
crop_analyze |
Progressive crop refinement with depth guards | Yes | - |
3 Resources: vision://health | vision://version | vision://models
Pipeline
Screenshot ──> analyze_ui ──> Structured JSON
│
├── Need detail? ──> crop_analyze (depth +1)
├── Need text? ──> extract_text
└── Need diff? ──> compare_ui
Quick Start
Install
pip install page-vision-mcp
# Optional: Playwright for screenshot fallback
pip install "page-vision-mcp[playwright]"
playwright install chromium
Configure
Set environment variables (or create a .env file, see .env.example):
VISION_API_KEY=your-api-key
VISION_BASE_URL=https://api.openai.com/v1
VISION_MODEL_ID=gpt-4o
Works with any OpenAI-compatible VLM: GPT-4o, GLM-4V, Qwen-VL, etc.
MCP Client Config
Add to your MCP client configuration (Claude Code, Trae, Cursor, etc.):
{
"mcpServers": {
"page-vision-mcp": {
"command": "page-vision-mcp",
"env": {
"VISION_API_KEY": "your-api-key",
"VISION_BASE_URL": "https://api.openai.com/v1",
"VISION_MODEL_ID": "gpt-4o"
}
}
}
}
See examples/mcp_config.json for the full configuration with all options.
Tool Details
analyze_ui — UI Analysis
analyze_ui(
image_source="screenshot.png", # URL/path/base64/data_url
prompt="", # optional focus
task="ui", # ui/screenshot/qa/general
detail="high" # low/auto/high
)
Returns structured observations with region-level localization (page → section → component → text), inferences, uncertainties, and suggested regions for further analysis.
compare_ui — Screenshot Diff
compare_ui(
image_before="before.png",
image_after="after.png",
mode="viewport", # viewport/fullpage/component
focus="changes" # changes/layout/text/colors/general
)
Returns structured differences (added/removed/modified/moved) with coordinates.
extract_text — OCR
extract_text(
image_source="screenshot.png",
language="auto", # auto/chinese/english/japanese/korean
preserve_layout=True
)
Returns text blocks with type, confidence, and bounding box coordinates.
crop_analyze — Progressive Refinement
crop_analyze(
image_source="screenshot.png",
x=0.15, y=0.02, width=0.6, height=0.07, # normalized 0.0-1.0
depth=1, # agent-managed, max 3
task="ui"
)
Use coordinates from analyze_ui's suggested_regions. Max depth 3 prevents infinite recursion.
capture_page — Screenshot Fallback
capture_page(
url="http://localhost:3000",
viewport_width=1280,
viewport_height=720,
full_page=False,
wait_for="networkidle" # networkidle/domcontentload/load/none
)
Note: If your agent has built-in browser capability (Computer Use, Trae browser, Playwright MCP), use that instead and pass the screenshot path to analyze_ui.
Response Format
All tools return a structured JSON envelope:
{
"status": "success",
"tool": "analyze_ui",
"result": { ... },
"warnings": []
}
Status can be: success | partial | error | unavailable | unsupported | completed
Configuration
| Variable | Default | Description |
|---|---|---|
VISION_API_KEY |
- | VLM API key (required) |
VISION_BASE_URL |
https://api.openai.com/v1 |
VLM API endpoint |
VISION_MODEL_ID |
gpt-4o |
Model to use |
VISION_TIMEOUT |
60 |
Request timeout (seconds) |
VISION_MAX_RETRIES |
3 |
Max retry attempts |
VISION_ALLOW_LOCAL_FILES |
true |
Allow local file paths |
VISION_ALLOWED_PATHS |
- | Allowed directories (comma-separated) |
VISION_BLOCK_PRIVATE_IPS |
true |
Block SSRF to private IPs |
VISION_MAX_IMAGE_SIZE_MB |
10 |
Max image size |
VISION_MAX_IMAGE_PIXELS |
40000000 |
Max pixel count |
Development
pip install -e ".[dev]"
pytest tests/
License
Project details
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