Official MCP server for Theta EdgeCloud's On-Demand Model APIs, providing access to 20+ AI models including image generation, audio transcription, and LLMs, directly from MCP-compatible clients.
Give your coding agent marketing superpowers. Layers Marketing MCP researches your market, renders videos with AI personas, posts to TikTok, runs paid campaigns, and measures what worked; 27 tools, each priced before it runs.
Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.
MCP server for MarkItUp's AI image-annotation pipeline. Generate polished marketing-visual variations of any screenshot, regenerate, AI outpaint, and remove backgrounds —
powered by Claude analysis + Gemini rendering.
A FastMCP server that provides virtual try-on functionality through the Replicate API, allowing users to visualize how clothing items would look on models.
Enables engraving LilyPond sources into cropped, self-contained EPS, PDF, SVG, and PNG assets for placement in page-layout software, with support for files or inline code and helpful diagnostics on failure.
Enables pay-per-call access to 90+ generative AI models and utility tools via any MCP client, with no signup or API key, using wallet-based USDC payments on Base, Tempo, or Solana.
On-demand live vision MCP for AI agents — open a session at a lat/lng, receive a JPEG snapshot or WebRTC stream, settled per-second in USDC on Base. Four tools (get_session, get_frame, get_stream_url, cancel_session); currently Base Sepolia testnet.
Enables local creation, inspection, revision, and rendering of editable Apple Icon Composer .icon documents from static SVG or PNG artwork, with native appearance previews on macOS.
An MCP server that enables AI assistants like Claude Code to capture screenshots, view images, and manage screenshot files on Windows. It uses native Windows APIs for full-screen, region, or active-window captures, and supports image analysis and automated cleanup.
Enables AI assistants to analyze weld photos for quality scoring and identify common defects like porosity or undercut. It provides practical bead-building tips and technical guidance for MIG, TIG, and Stick welding processes based on AWS/ASME standards.
Enables controlling a local Blender instance through natural language or code, allowing arbitrary Python/bpy execution and querying scene or object information via MCP.
Enables web content extraction, screenshot capture, web search, arXiv paper search, and image search through Jina AI's APIs. Provides tools for reading URLs as markdown, searching the web for current information, and finding academic papers or images.