"How to connect to Firebase" matching MCP servers:

Converts local images or remote image URLs to Base64 format via the MCP protocol, enabling AI assistants to process images.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

Enables agents to discover available still-image animation models, obtain credit quotes without charge, submit one explicitly approved generation job, and poll the resulting short clip.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

MCP server for ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

Enables AI coding assistants to search, inspect, and generate clean, standardized vector SVG emoji components directly into their codebases.

Enables text-to-image generation using Zhipu AI's CogView-4 API. Supports generating images from text prompts with configurable size and quality parameters through MCP-compatible clients like Claude Desktop and Cline.

Enables AI clients to generate animated videos from natural language prompts, handling scriptwriting, voiceover synthesis, and MP4 rendering.

Provides governed MCP tools for a controlled, AI-assisted asset-change pipeline, featuring natural-language requests, mandatory approvals, execution-time revalidation, and complete audit.

Enables text-only language models to understand images by forwarding image and prompt requests to vision model backends via MCP, returning descriptive text. Supports multiple OpenAI-compatible providers with task routing and safety checks.

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

Enables MCP clients to run 600+ generative AI models from fal.ai, including image, video, audio, and text, with tools for synchronous and asynchronous execution, model catalog browsing, and schema inspection.

An MCP server that gives LLMs direct access to OpenRouter's Image API to generate images, edit/transform existing ones, and browse the model catalog.

Enables AI agents to lip-sync video to a different audio track via LipDub 2, including creating renders, checking statuses, and retrieving results.

Enables MCP clients like Claude to analyze public YouTube videos by asking questions grounded in both audio and visuals through the Google Gemini API.

An MCP server that enables AI agents to search, retrieve, and curate free stock photos and videos from Pexels, with tools, resources, and prompts for easy integration.

An MCP server providing access to 554+ generative AI models with spend safety guardrails, enabling text-to-image, image-to-video, and more through a simple 4-call workflow.

MCP server that connects an AI assistant to a running ComfyUI instance, allowing it to fetch saved workflows, inject a prompt and seed, run generation, and return the image inline in chat.