"Information on agent swarm architecture" matching MCP servers:

Enables assistants to publish readable replies and status updates to e-ink displays and Home Assistant, with switchable characters and state retrieval through MCP tools.

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.

Hosted MCP server (OAuth, no API keys) that makes short drama series (micro-dramas, sitcoms, K-drama style, any language) and other short vertical videos from Claude, ChatGPT or Codex, with the same cast every episode.

A lightweight MCP server that enables text agents to analyze images and videos using OpenAI-compatible vision models, with tools for image analysis and video frame extraction.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables AI agents to find meme and reaction clips via the Vlipsy API or local folders, look at them as contact-sheet images, and fetch or convert them into rendered assets with attribution sidecars. It also drops those clips into ffmpeg renders and editing timelines (OTIO, FCPXML, Premiere XML, EDL) or returns paste-ready Remotion, HyperFrames, MoviePy and HTML snippets.

Enables AI agents to create and edit layered paintings through 22 MCP tools, including pressure-sensitive brushes, shapes, patterns, text, selections, filters, snapshots, and file export—all headlessly on CPU without a GUI.

Enables AI agents to drive a live Blender session over stdio, inspecting the scene graph, searching and calling operators, reading and writing RNA properties, rendering viewable images, and checkpointing or restoring the file across a multi-turn conversation. It also exposes gallery and scene-reset helpers so the agent can check its own work and start over cleanly.

An MCP server that enables AI clients to inspect footage and audio, edit revision-locked timelines or generated source code, render with Remotion or HyperFrames, and verify results through measurements for iterative video editing.

Enables AI agents to capture, analyze, compare, and share authorized screen content using multimodal models, with local consent, sensitive-data masking, and structured MCP resources for cross-agent reporting.

Enables applications and AI agents to inspect, convert, extract, and process media through asynchronous HTTP and MCP tasks, with optional natural-language planning and A2A interoperability.

Enables AI agents to create and refine pixel art assets—sprites, rigged characters and animations, tilesets, seamless textures, icons, isometric and HD-2D scenes, 3D models, and game audio—through MCP tools, with a live web UI for watching, steering, and reviewing work.

MCP server for generating print-ready 3D models from text descriptions via a multi-agent pipeline, enabling AI assistants to create and optimize STL files.

Enables AI assistants to search, randomly roam, and inspect over 65,000 ArchDaily architectural works, including downloading and reading high-resolution images; it also supports notes, two-way sharing with a front-end canvas, and favorites/tag management.

Enables an external coding agent to exchange text and images with ComfyUI workflows and trigger runs via MCP tools.

Enables non-vision LLMs to analyze images via any OpenAI-compatible vision API. Hardened against truncation, empty responses, and timeouts for reliable analysis.

Give text-only LLM agents eyes by describing images through a vision-language model via MCP or CLI.

Enables creating and editing Amazon listing images and product videos from live catalog data, with Amazon compliance rules, character-consistent generation, and resumable video generation.

Provides a catalog of paid micro-work tools for text processing, speech, and image generation with fixed USDC pricing via x402. Enables agents to discover capabilities, get quotes, and prepare calls without handling wallet keys.

MCP server enabling a florr.io game agent with YOLO vision, entity prediction, combat assessment, and local knowledge base for autonomous gameplay.

A local stdio MCP server for visual AI work, offering an Excalidraw infinite canvas, image generation and editing, HTML drafts, presentations, and durable task recovery within a project workspace.

Provides local vision and audio perception for MCP-compatible agents, enabling them to read images, transcribe text from visual media, analyze videos, and convert speech to text entirely on-device. It is privacy-focused with no cloud upload or API keys by default, using Ollama for inference.

Enables AI agents to perceive and quantitatively verify physical hardware through USB webcams and RTSP/HTTP network streams, returning inline image content plus numerical metrics such as brightness, contrast, edge density, motion, SSIM baseline comparisons, and OCR text. Agents can watch feeds for visual conditions, correlate buffered frames with serial/log/MQTT events, and apply privacy masks and access controls.

Enables AI agents to search, retrieve, store, move, render, measure, and de-identify DICOM images across DIMSE and DICOMweb archives with one set of tools, including local pixel and geometry analysis.

Enables AI agents to operate GIMP 3 end-to-end: open and inspect images, call every PDB procedure, apply GEGL filters destructively or as layer effects, measure pixels, render before/after/diff comparisons, cut out subjects with AI segmentation, and run multi-step recipes across folders.

Enables AI agents to perform local headless video editing through MCP tools, including source-linked cuts, captions, overlays, audio, revision history, cut review, and Remotion rendering.

Enables local-first creation, editing, and animation of pixel-art Aseprite documents through MCP stdio, with atomic previews, canvas drawing, layers, frames, palettes, tags, slices, tilemaps, and cast tools. It also supports strict asset validation and verified Phaser/game-asset export from reopened native masters.

Local MCP server for Gateway-managed computer use that exposes computer.* tools with desktop control, OCR, and user-visible safety overlays.

Enables MCP hosts and coding agents to model, inspect, measure, and deliver real Blender scenes through 15 tools and 217 catalog operations, returning actual rendered images after key edits. Works against a live Blender GUI via addon or a persistent headless worker, producing editable .blend files, GLB exports, previews, and acceptance records.

Enables AI agents to process frontal dance videos for back-view practice, including mirror fallback and 2D pose extraction, with planned 3D pose lifting and back-view digital human rendering.