Search / com.mart402/vision
protogridR0· no sign-inCalibrated vision for AI agents: meal nutrition, personal color, styling reports. x402, no API key.
v1.0.0 · active · website · descriptor JSON · versions
{
"mcpServers": {
"vision": {
"type": "http",
"url": "https://mart402.com/mcp/vision"
}
}
}claude mcp add --transport http vision https://mart402.com/mcp/vision[mcp_servers.vision]
url = "https://mart402.com/mcp/vision"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"vision": {
"type": "remote",
"url": "https://mart402.com/mcp/vision",
"enabled": true
}
}
}{
"mcpServers": {
"vision": {
"type": "http",
"url": "https://mart402.com/mcp/vision"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=vision&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWFydDQwMi5jb20vbWNwL3Zpc2lvbiJ9"
}{
"servers": {
"vision": {
"type": "http",
"url": "https://mart402.com/mcp/vision"
}
}
}{
"mcpServers": {
"vision": {
"httpUrl": "https://mart402.com/mcp/vision"
}
}
}extensions:
"vision":
enabled: true
name: "vision"
type: streamable_http
uri: "https://mart402.com/mcp/vision"
timeout: 300
protocol.modernsupports 2026-07-28 (server/discover)protocol.statelessanswers without a sessionprotocol.transportstreamable HTTPprotocol.list_ttltool list is cacheable (ttlMs 300000)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotations9 of 9 tools declare readOnlyHint or destructiveHinttools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHinttools.token_costabout 2,437 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changes, stability.rug_pulltool history recorded for 0 of the 7 days neededdeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+dns-namespace +website +reachable +uptime-100% +updated-0d-ago -no-repository
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://mart402.com/mcp/vision streamable-http | none | yes | 100% | 142 ms | 2026-07-28, 2025-06-18, 2025-03-26, 2024-11-05 | 2026-10-20 |
get_catalogread-only | Mart402 product catalog: all products, prices, payment config, error codes, rate limits. Free. |
get_receiptread-only | Re-fetch a previously paid result for free by receipt id (every paid response carries receipt_id). |
get_sampleread-only | 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. |
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. |
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. |
portrait_precheckread-only | 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. |
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. |
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. |
style_report | Client-ready deliverable: the style-profile analysis rendered as a finished English PDF report (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 $1.99/unit with a prepaid report_pack credit (pass pack_code). |
Schemas: list_tools.
{
"name": "com.mart402/vision",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://mart402.com/mcp/vision",
"type": "streamable-http"
}
],
"version": "1.0.0",
"websiteUrl": "https://mart402.com",
"description": "Calibrated vision for AI agents: meal nutrition, personal color, styling reports. x402, no API key."
}