# MCP 3D Relief Generator Image Formats: Complete Supported Format Guide

> Explore the MCP 3D Relief Generator supported image formats. Discover inputs like JPEG, PNG, BMP, GIF, TIFF, and WebP for your 3D relief projects.

- Repository: [bigchx/mcp_3d_relief](https://github.com/bigchx/mcp_3d_relief)
- Tags: api-reference
- Published: 2026-02-26

---

**The MCP 3D Relief Generator accepts any image format supported by the Python Pillow library, including JPEG, PNG, BMP, GIF, TIFF, and WebP, via both local file paths and remote URLs.**

The `bigchx/mcp_3d_relief` repository provides a Python-based tool for converting 2D images into 3D relief models. Understanding which MCP 3D Relief Generator image formats work as input is essential for integrating the tool into your workflow. The generator leverages the Pillow imaging library to handle format decoding, making it compatible with virtually all standard raster image types.

## Supported Image Formats in MCP 3D Relief Generator

The relief generator does not enforce specific format restrictions. Instead, it relies on **`PIL.Image.open()`** to handle decoding, as implemented in [`relief.py`](https://github.com/bigchx/mcp_3d_relief/blob/main/relief.py) lines 80–99. This architecture means any format that Pillow can read is automatically supported.

Common formats include:

- **JPEG** – Standard photographic compression
- **PNG** – Lossless compression with transparency support
- **BMP** – Uncompressed Windows bitmap
- **GIF** – Graphics interchange format (static images)
- **TIFF** – Tagged image file format for high-quality scans
- **WebP** – Modern web-optimized format

## Input Methods for MCP 3D Relief Generator

The generator accepts images through three distinct pathways, all ultimately passing through the same Pillow-based processing pipeline.

### Local File Processing

For local files, the code directly invokes `Image.open()` on the provided path. The implementation in [`relief.py`](https://github.com/bigchx/mcp_3d_relief/blob/main/relief.py) (lines 80–88) opens the file and immediately converts it to grayscale for height map generation.

```python

# Local PNG file example

await relief(input_image_path="uploads/demo.png")

```

### Remote URL Loading

When the input path begins with `http://` or `https://`, the generator uses **aiohttp** to download the image bytes. As shown in [`relief.py`](https://github.com/bigchx/mcp_3d_relief/blob/main/relief.py) lines 80–88, these bytes are wrapped in `io.BytesIO()` and passed to `Image.open()`, enabling direct processing of remote images without intermediate storage.

```python

# Remote JPEG image example

await relief(input_image_path="https://example.com/photo.jpg")

```

### Direct Pillow Image Objects

Advanced users can bypass file I/O entirely by passing a pre-loaded Pillow Image object. This method supports any format already decoded by Pillow, including specialized raster formats.

```python
from PIL import Image

# Direct TIFF processing

img = Image.open("my_image.tiff")
await relief(input_image=img)

```

## Technical Implementation Details

The format-agnostic design centers on a single abstraction point. According to the source code in `bigchx/mcp_3d_relief`, the `relief()` function normalizes all inputs—whether local paths, URLs, or Image objects—through `PIL.Image.open()` before grayscale conversion and 3D mesh generation.

The README.md at line 95 demonstrates this flexibility with a JPEG example: `python3 relief.py path/to/your/image.jpg`. However, the underlying code places no restriction on the file extension or encoding type, provided Pillow recognizes the format signature.

## Summary

- The MCP 3D Relief Generator supports all Pillow-compatible formats, including JPEG, PNG, BMP, GIF, TIFF, and WebP.
- Remote images are supported via HTTP/HTTPS URLs using asynchronous downloading with aiohttp.
- Three input methods exist: local file paths, remote URLs, and direct Pillow Image objects.
- The critical code path in [`relief.py`](https://github.com/bigchx/mcp_3d_relief/blob/main/relief.py) lines 80–99 uses `PIL.Image.open()` for universal format handling.
- No format validation is performed beyond Pillow's internal capability checking.

## Frequently Asked Questions

### What image formats does the MCP 3D Relief Generator support?

The generator supports any raster image format that the Python Pillow library can decode, including but not limited to JPEG, PNG, BMP, GIF, TIFF, and WebP. The implementation in [`relief.py`](https://github.com/bigchx/mcp_3d_relief/blob/main/relief.py) uses `PIL.Image.open()` to handle format detection and decoding automatically.

### Can I use remote images with the relief generator?

Yes. When the `input_image_path` parameter starts with `http://` or `https://`, the code downloads the image using aiohttp and processes it through `Image.open()` without saving to disk. This occurs in [`relief.py`](https://github.com/bigchx/mcp_3d_relief/blob/main/relief.py) lines 80–88.

### Does the generator support TIFF or WebP files?

Yes. Both TIFF and WebP are fully supported as input formats provided your Pillow installation includes the necessary codec libraries. The code treats these identically to JPEG or PNG files through the `Image.open()` abstraction.

### How does the code handle different image formats internally?

All inputs converge on a single processing path in [`relief.py`](https://github.com/bigchx/mcp_3d_relief/blob/main/relief.py) lines 80–99. Whether from a local file, URL download, or direct Image object, the data passes through `PIL.Image.open()` and is immediately converted to grayscale for the 3D relief generation algorithm.