Vision is answering right now. Last checked 1 min ago. It exposes 9 tools.
Calibrated vision for AI agents: meal nutrition, personal color, styling reports. x402, no API key.
Uptime history
6 days of history
6 days agonow
100.0%
Uptime 24h
92 of 92 checks
9
Tools
read from the server
711 ms
Response time
average over 24h
open, no key
Access
streamable-http
What changed 4
Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 23 October 2026. No other catalogue keeps this.
23 Oct
4 tool descriptions were rewritten
portrait_analysis, report_pack, style_profile and 1 more
Nothing serious here today
Today is the operative word: we check Vision every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 min ago.
run in your terminal
claude mcp add vision --transport http https://mart402.com/mcp/visionSettings → Connectors → Add custom connector, then paste this address
https://mart402.com/mcp/vision~/.codex/config.toml
[mcp_servers.vision]
url = "https://mart402.com/mcp/vision".cursor/mcp.json
{
"mcpServers": {
"vision": {
"url": "https://mart402.com/mcp/vision"
}
}
}.vscode/mcp.json
{
"servers": {
"vision": {
"type": "http",
"url": "https://mart402.com/mcp/vision"
}
}
}Available tools 9
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
portrait
portrait_analysis
Personal color analysis from 1-3 portraits: measured pixel colorimetry (CIELAB/ITA) cross-checked against vision-model attributes, cross-photo lighting consistency, then a published deterministic rule table gives the 4-season verdict with palette and style advice. No identification; images not stored. Flat $0.05/call. Choose this when you need only the seasonal color verdict and palette as JSON. For the fuller styling verdict (face impression, body frame, silhouette) use style_profile; for a finished PDF for a human client use style_report.
portrait_precheck
FREE analyzability check before paying for portrait_analysis: is a face detectable, is the photo quality good enough (clipping/color cast)? Deterministic, no LLM. 10/hour/IP.
style
style_profile
Integrated styling verdict: seasonal color (measured colorimetry consensus) + face-impression zone (published geometry rules) + body frame + integration rules (palette subset, taste, silhouette, modifiers). 1-3 face photos, optional full-body + questionnaire. Flat $0.05/call. Choose this when you want the integrated styling analysis as JSON to use or render yourself; it is the same analysis that style_report turns into a PDF. For color only use portrait_analysis.
style_report
Client-ready deliverable: the style-profile analysis rendered as a finished PDF report in English or Japanese (palette with color names, style-aware outfit formulas, virtual draping boards with disclosed candidate conflicts, honest confidence) returned as report_pdf_base64 + full profile JSON. For agents serving human end-clients. Flat $2.99/call, or $1.99/unit with a prepaid report_pack credit (pass pack_code). Choose this when the result goes to a HUMAN end-client as a finished document; if you will present the result yourself, style_profile returns the same analysis as JSON for less.
catalog
get_catalog
Mart402 product catalog: all products, prices, payment config, error codes, rate limits. Free.
meal
meal_vision
Analyze a meal photo to itemized nutrition JSON: dishes, portions, kcal, macros with per-item confidence, reference-object scale calibration, scene-complexity detection, a disclosed calibrated kcal range, PFC balance ratios and alcohol-aware 4/4/9 cross-checks. Calibrated on 30 weighed meals (range contained truth in 26/30). Every call is a 3-run consensus with disclosed spread + item agreement. $0.05/image.
receipt
get_receipt
Re-fetch a previously paid result for free by receipt id (every paid response carries receipt_id).
report
report_pack
Volume pricing for style_report: one $19.90 payment returns 10 single-use credit codes ($1.99/unit vs $2.99 single, en or ja, no expiry). Treat codes like cash. Not an analysis: it buys prepaid style_report credits. Choose this only when you expect to produce several style_report PDFs; pass each code as pack_code to style_report.
sample
get_sample
Free recorded sample response for a paid product (from real production runs, marked sample:true) - see the exact response shape before paying anything. Available: document-pipeline, enrich, extract, jp-bonus-net, jp-business-days, jp-company, jp-consumption-tax, jp-crypto-tax, jp-dependent-threshold, jp-mortgage, jp-overtime-wage, jp-payroll-net, jp-payroll-suite, jp-payslip-audit, jp-retirement-tax, jp-social-insurance, meal-vision, ocr, parse, pdf-info, pdf-merge, pdf-pages, portrait-analysis, report-pack, structured, style-profile, style-report, verify.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://mart402.com/mcp/vision | streamable-http | answering | 452 ms | 1 min ago |
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Vision — questions
Answers built from our own checks of this server.
What can Vision do?
It exposes 9 tools, read directly from the server on our last check. Among them: get_catalog, get_receipt, get_sample, meal_vision, portrait_analysis, portrait_precheck and 3 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README.
How MCP servers expose tools in the first place →
What is Vision mostly used for?
Its tools cluster around portrait and style. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Vision working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 711 ms. The bar chart above shows every period we have measured.
How do I connect Vision?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Vision need an API key?
No. Vision completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 9 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Vision?
It answers our handshake in 711 ms on average, which is faster than 15% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.