#diff

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An MCP server to connect Claude Desktop with local Stable Diffusion WebUI

DiffuGen is a powerful yet user-friendly interface for local\edge image generation. Built on the Model Control Protocol (MCP), it provides a seamless way to interact with various Stable Diffusion models including Flux, SDXL, SD3, and SD1.5. Diffugen also features an OpenAPI Server for API usage and designed to support OpenWebUI OpenAPI Tool use.

Simple MCP Server to generate iamges using Stable Diffusion

A Python MCP server that wraps the Gelbooru API. Connect it to any MCP-compatible client (Claude Desktop, Cursor, etc.) to search posts, look up tags, and generate Stable Diffusion prompts from real character appearance data — all directly from your AI assistant.

A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Supports customizable parameters, image saving, and multiple model options.

TEOS MCP is an MCP server that performs real-time diff-level security scanning for AI agents and CI/CD pipelines. It analyzes code diffs before merge or deployment and returns a deterministic gate decision: ALLOW WARN BLOCK Built for: • AI agents • Autonomous systems • DevSecOps teams • CI/CD workflows Features: • Diff risk scoring • Deterministic merge gate • Real-time enforcement • Usage-based monetization (pay-per-scan) • Optional on-chain verification Unlike gateway filters, TEOS MCP performs code-level intelligence before execution.

MCP server for website change monitoring. Let your AI assistant track websites, detect changes, and compare snapshots with visual diffs.

A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Supports customizable parameters, image saving, and multiple model options.

Run & Manage Long Processes - install, scrap, encode video, compile Search & Read & Edit files - including diff editing for speed and precision

High-performance XML file comparison with semantic analysis capabilities. Features StAX streaming parser for memory-efficient processing of large XML files (60MB+ tested), order-agnostic semantic comparison, and multiple output formats (text, JSON, Excel). Includes 5 MCP tools for comprehensive XML analysis and comparison.

Give your AI coding agent eyes. RenderLens is an MCP server with 3 tools: render (code → screenshot), audit (Lighthouse + WCAG accessibility), diff (pixel-level visual comparison). Free during beta — 100 calls/month, no API key, no signup.