Exif MCP Server

Overview

is a Model Context Protocol server that gives AI assistants instant, offline access to the full range of image metadata. By wrapping the high‑performance exifr library, it can parse JPEG, PNG, TIFF, HEIC/AVIF and other common formats without invoking external binaries. This eliminates the latency of network calls or the security risk of installing third‑party tools, making it ideal for on‑premise deployments where data privacy and speed are paramount.

The server exposes a rich set of tools that let a language model read, filter and transform metadata segments. Users can request the entire metadata payload or narrow down to EXIF, XMP, ICC color profiles, IPTC tags, and more. Specialized helpers return orientation codes, rotation/flip flags, GPS coordinates or embedded thumbnails. Because the server accepts image data from file paths, URLs, base64 strings or raw buffers, it can be used in a wide variety of workflows—from local file‑system exploration to cloud‑based image pipelines.

Developers leveraging AI assistants benefit from the ability to interrogate images on demand. For example, a photo‑management bot can ask “Which camera did I use most often?” or “Show me all pictures taken on weekends.” The tool can also serve as a debugging aid for image‑processing code, allowing developers to verify that metadata is correctly written or preserved after transformations. The reverse‑geolocation service PlaceSpotter already relies on during development, underscoring its practicality for production use.

Integrating into an AI workflow is straightforward: the server runs over STDIO, so any MCP‑compatible client—Claude Desktop, custom agents or third‑party frameworks—can invoke its tools with simple JSON payloads. The server’s API is stateless, making it easy to scale or embed within larger pipelines. By providing a single, fast, and secure endpoint for image metadata extraction, removes a common bottleneck in AI‑powered media applications and empowers developers to build richer, contextually aware assistants.