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91,491 servers. Updated
20 Best Browser Automation MCP Servers: compared and ranked, September 2026Ranked from 3,330 matching servers on stars, growth, downloads and maintenance. Updated .

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    media-gen renders Claude-authored content — SVG markup, HTML documents, or a JavaScript canvas draw() function — into PNG/JPEG/WebP images and MP4 video using headless Chromium and ffmpeg, with no API keys required. It also offers an optional bring-your-own-key path for photorealistic text-to-image and text-to-video generation via OpenAI, Gemini, or fal.ai.
    3
    MIT
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    An MCP server for image and video processing that allows AI assistants to resize, convert, compress, and analyze media files locally without API keys. It supports a wide range of formats and provides tools for tasks such as metadata removal, frame extraction, and video conversion.
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    MIT
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    A Model Context Protocol (MCP) server for producing better Terraform through CLI analysis (tflint, checkov, trivy, kics, infracost), best-practice guidance from terraform-best-practices.com, cloud provider recommendations (Azure, AWS, GCP), and Terraform Registry resource and module guidance.
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    818 npm
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    MIT
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    Enables image generation and editing, video generation and extension, status polling, and download through the Kenari.id media APIs, saving outputs as files on disk.
    8
    MIT
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    Unified MCP server for Gemini media generation --Nano Banana (images), Veo 3.1 (video), TTS, and Lyria 3 (music). Single Go binary, 12 tools, supports Gemini API key and Vertex AI.
    12
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    Apache 2.0
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    Enables searching and downloading images, videos, and multi-image galleries from e621, rule34, E-Hentai/ExHentai, and Pixiv, with support for batch downloads, URL-based retrieval, and optional animation conversion to GIF/MP4.
    6
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    MIT
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    A learning-oriented MCP server that exposes basic tools (echo, add, reverse) over stdio transport to validate MCP handshake and tool calls.
    3
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    Local MCP server that compresses images and videos, extracts video frames, and prepares media for AI vision agents by returning file paths instead of inline base64.
    6
    2 npm
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    MIT
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    A platform-agnostic MCP server that connects Claude to campaign data, institutional knowledge, and historical performance for paid media teams, enabling automated analysis, reporting, and debugging.
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