"Five9: Cloud Contact Center Software" matching MCP servers:

Enables creation of word cloud visualizations from various document formats (PDF, Word, TXT, MD) with intelligent text extraction, customizable themes, and multiple output formats (SVG, PNG, JPG, WebP).

Enables local MCP clients to control a remote single-GPU ComfyUI instance over SSH port forwarding, check backend readiness, submit MiniMax H3 audio-video generation jobs, monitor job status, and download completed MP4 outputs.

An MCP (Multi-Agent Conversation Protocol) Server that provides a standardized interface for interacting with Google's Cloud Vision API, enabling AI agents to analyze images and extract visual information through natural language.

This server enables interaction with Google's Video Intelligence API for advanced video analysis, auto-generated using AG2's MCP builder to provide a standardized multi-agent interface.

MCP server for FreezeText — OCR anything on your Mac screen from Claude, Cursor, or any MCP client. Freeze the screen and extract text via Apple Vision (videos, popups, protected PDFs), OCR a region or a base64 image, and manage a searchable capture history. 12 tools. Bridge open-source (MIT), FreezeText app is free.

Enables AI agents to access an allowlisted set of local Eufy cameras through MediaMTX, providing camera status, single JPEG snapshots, and motion clip listing with frame extraction, without PTZ or cloud APIs.

Enables MCP clients to geocode and reverse geocode places, render static maps with markers or routes, generate privacy-safe area maps, and get setup code for interactive maps using OpenStreetMap data.

Atlas Cloud MCP Server enables developers to access state-of-the-art AI models for image generation, video generation, and LLMs through a unified MCP interface. Fast, scalable, and cost-efficient alternative to traditional AI providers.

Enables AI agents to create, inspect, render, and export 2D engineering drawings through DXF files, including entities, dimensions, hatches, splines, blocks, layers, PNG previews, and vector PDFs without needing a CAD GUI.

A local stdio MCP server that enables e-commerce image creation and editing through t8star image services, covering product main images, detail pages, home-scene shots, marketing posters, and reference-image edits. It also supports asynchronous batch jobs that register up to 12 tasks, return immediately, and save results to local disk for later querying by identity.

Enables Windows users to generate and edit images through GPT Image 2.5 Flare/Sunburst via a stdio MCP interface, with synchronous and batch-async operations, streaming results, checkpoint-based deduplication, recovery queries, and automatic image saving.

Local MCP server to control Adobe After Effects from AI clients like Claude and Cursor, supporting project composition, layer editing, animation, masks, and effects.

Enables AI assistants to read Lanhu design specs — layer trees with per-layer CSS, screenshots, downloadable slices, and review comments — so they can restore UI and generate React/Vue/mini-program code without manual measuring or asset hunting.

Gives any agent eyes and ears by indexing video, audio, and screen activity into searchable, timestamped frames, transcripts, and OCR text that answers can cite. It also evaluates frozen verification contracts over file digests, JSON values, SQL results, HTTP responses, and DOM state to return a deterministic verdict from a separate process.

Enables agents to prepare inputs, generate, resume, validate, and revise ecommerce competitor images while preserving reference composition and product/brand details, with persistent task tracking and credential storage.

Turns curated ComfyUI workflows into typed MCP tools and REST endpoints, enabling image generation and job management through natural language or HTTP calls.

Provides MCP servers for ElevenLabs (text-to-speech and sound effects) and Meshy.ai (3D generation), with a request preview mode to inspect API calls without incurring costs.

Enables a cooking assistant to judge readiness from live camera frames, returning proceed, wait, refuse, or abort verdicts through MCP tools so voice assistants and live panels can answer whether an ingredient is ready. It refuses to guess when frames are stale or confidence is low, keeping guidance honest in real cooking conditions.

An MCP server that recreates Microsoft Comic Chat (1996) to generate comic strips from conversation summaries, using original character art and deterministic layout, with no LLM calls.

Converts video into timestamped contact sheets, enabling AI agents to navigate and retrieve visual evidence from specific timecodes rather than watching entire clips.

Provides vision capabilities to text-only LLMs by acting as a cloud vision adapter layer, enabling image understanding and OCR text extraction through a single MCP tool.

Enables analysis of an image's optical properties (color temperature, light vectors, luminance dynamics) and generation of physically grounded relighting variants, harmonized composites with contact shadows, and calibrated diffusion prompts for GPT Image and Nano Banana targets.

mediamcp is an MCP server that connects your AI assistant — Claude Code, Claude Desktop, Cursor, Windsurf, VS Code, or anything else that speaks MCP — to cloud media models (Gemini Flash Image, GPT-5 Image, Seedream, Veo, Sora, …) via OpenRouter or any OpenAI-compatible API.

MCP server that turns articles, transcripts, and markdown into LinkedIn carousel PDFs, Instagram PNGs, and Threads PNGs. Content in, slides out. No web UI, no cloud service.

An MCP server that searches the web for images, creates a numbered contact sheet for visual selection, and downloads the chosen images with provenance metadata. Works without an API key.

Enables AI clients to watch local video files or YouTube/Bilibili and other supported URLs, receiving timestamped transcripts, subtitles, searchable text and keyframe contact sheets. Runs fully offline with local speech recognition and bundled ffmpeg, so no API key or cloud upload is needed.

Enables AI agents to capture and analyze screenshots of macOS applications, windows, or the entire screen using local (Ollama) or cloud-based AI vision models, with non-intrusive, fast screen capture via Apple's ScreenCaptureKit.

Enables AI agents to analyze videos by producing timestamped transcripts, keyframe contact sheets, and metadata reports from local files or online URLs, fully offline and without API keys.

Enables AI agents to analyze images via user-configured cloud vision APIs (Gemini or OpenAI-compatible), returning structured results such as summaries, OCR text, and objects.

Connects AI assistants to Cloudglue for video analysis, enabling video description, entity extraction, chapter segmentation, and metadata retrieval from various sources like YouTube and cloud storage.