Normal Roughness Baker MCP

x402

Normal Roughness Baker MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-13).

Bakes normal and roughness texture maps from input surface data for 3D asset pipelines

Price / call$0.15

Seller volume →—

Success—

StatusUnknown

How this service works

The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.

Output

Returns baked normal map and roughness map data derived from the provided surface input string, suitable for use in PBR rendering pipelines and game engines.

Example use cases

PBR texture pipeline for game assets

“I have a 3D model surface description and need normal and roughness maps baked from it for my game engine — can you process this data: 'concrete_cracked_weathered_low_gloss'?”

Automated material baking for CGI render

“Take this surface material string 'wood_oak_rough_matte_medium_grain' and bake me the normal and roughness textures I need for my render pipeline.”

Batch texture prep for product visualization

“I need to generate normal and roughness maps from this material data 'polished_ceramic_smooth_high_specular' for a product 3D visualization — can you bake those textures?”

Technical details

Endpoint

POSThttps://api.m2mcent.com/normal-roughness-baker-mcp/api/process?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to automate texture baking (normal and roughness maps) from surface or material description data as part of a 3D asset pipeline, especially in agentic or automated workflows where a paid-per-call API fits the use case.

Side effects

Invalid or missing 'data' field returns an error response
Malformed surface description string may produce incomplete or incorrect texture maps
Service unavailability returns a non-200 HTTP status
Payment failure via x402 protocol prevents processing

Output

Schema · Response

{
  "type": "json",
  "example": {
    "success": true
  }
}

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