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Adapters & integrations

ImageSorcery MCP

An MCP server exposing local image-processing operations such as cropping, resizing, detection, OCR and background removal to compatible agents.

330 stars

Overview

Research summary

ImageSorcery MCP makes image manipulation and analysis tools available through the Model Context Protocol. Instead of asking a language model to directly perform pixel operations, a client can delegate supported tasks to local processing code and optional vision models. Documented capabilities include geometric transformations, detection, text recognition, and background-related operations.

The repository provides the Python server and tool integration rather than a general image-generation model or a standalone coding assistant. Availability and output quality vary with the operation, installed dependencies, selected models, and input images. Local execution can reduce reliance on hosted image-processing services, but model downloads and the surrounding agent’s own network behavior are separate concerns.

The server code is MIT licensed, while optional model artifacts and other third-party components may have different terms.

Repository summary

Stars
330
Open issues
Unavailable
Last push
2026-05-19
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services unknown

Whether the provider offers paid products or services has not been established.

Licence scope

Implementation

Recorded implementation details and interfaces for ImageSorcery MCP.

Implementation details

Python MCP image-processing server with optional local vision models

Languages
Python
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

sunriseapps/imagesorcery-mcp ↗

Stars
330
Open issues
Unavailable
Last push
2026-05-19
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06
Stars source
Recorded fallback
Last push source
Recorded fallback

Documentation

Recorded references and research provenance for this entry.

Recorded sources 5

Research metadata

Research date
2026-09-16
Catalogue snapshot
2026-10-06

Community & social 2 channels

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