"Chinese greeting or conversation starter" matching MCP servers:

A template MCP server that provides job searching tools (analyze descriptions, fetch postings, search opportunities) and basic image processing capabilities. Includes built-in authentication and is designed to work seamlessly with Puch AI.

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.

Provides multilingual greetings in English, Korean, and Japanese, and generates AI images using the FLUX.1-schnell model from Hugging Face.

A starter template for creating MCP servers that work with Puch AI, including built-in tools for job searching (analyze descriptions, fetch postings, search opportunities) and basic image processing. Features bearer token authentication and ready-to-deploy setup for extending Puch AI with custom tools.

A starter template with ready-to-use tools for job searching (analyze descriptions, fetch posts, search jobs) and image processing (convert to black & white), featuring bearer token authentication for use with Puch AI.

A starter template for creating MCP servers that work with Puch AI, featuring built-in tools for job searching and image processing. Includes job description analysis, job posting fetching, job search capabilities, and image-to-grayscale conversion with bearer token authentication.

Enables Dot/Codex hosts to read the game's authoring specifications and validate fighter manifests and asset packages with real WebP, hash, frame, and profile checks. It provides local MCP tools for creating and checking JSON-based fighter packages without uploading or registering them.

Provides job search capabilities including analyzing job descriptions, fetching job postings from URLs, and searching opportunities, plus basic image processing tools like converting images to black and white.

MCP server that lets AI assistants like Claude or Cursor extract structured data (e.g., invoices) from images and PDFs via Vision API, with tools for analysis, questions, and preset management.

Give your AI assistant eyes and ears — analyze any video, audio, or image, entirely on your machine.

Enables any MCP-capable agent to generate App Store and Google Play store screenshots from screen layout JSON plus local image file paths, returning a job ID for async polling or a direct download link. It also exposes render status polling with signed download URLs and per-response quota, balance, and cost metadata.

Exposes OpenAI's gpt-image-2 and gpt-image-1.5 to Claude Code as a single tool for generating, editing, or composing images with automatic model selection.

MCP server (stdio, TypeScript) for optimising the images in a project with verified quality. Tools: analyze_images (read-only dry run) and optimize_images (in place or to a folder). Source: mcp/ in this repository; npm: optiq-mcp; MCP Registry: io.github.Baukaalm/optiq-mcp.

Offline PDF tools from the LaserPDF desktop app: extract and search text, OCR scanned pages (English and Turkish), redact text so it is removed from the file, remove hidden metadata, export tables to Excel, and merge, extract or rotate pages.

MCP server for generating memes via the Imgflip API. It allows AI assistants to browse meme templates, caption them, and return the resulting image directly in the conversation.

Enables drawing commands to be rendered into raster images, supporting shapes like lines, rectangles, circles, ellipses, and triangles, with results returned as inline PNGs or saved to files.

Enables 0-credit AI image generation and credit-billed video generation (Veo/abra) through your local Chrome session, requiring no API keys or third-party proxies.

Image generation for Claude Code, Claude Desktop and any MCP client, using your existing ChatGPT subscription. Drives the already-signed-in Codex desktop app over the Chrome DevTools Protocol - no API key, and no Codex agent quota. Supports iterative refinement through a reusable conversation. Windows only; requires the Codex desktop app.

Render HTML/CSS to PNG/JPG/WebP directly from Claude Desktop, Claude Code, Cursor, or any MCP-compatible client.

Enables AI video dubbing by letting users submit video URLs for dubbing into Russian, English, or Spanish while preserving original speakers' voices through voice cloning, plus job status and cost estimation tools.

Captions video and audio files on your computer with Cuecaps: animated word-by-word captions in 10 styles, exported as a burned-in MP4, a transparent MOV/WebM overlay for Premiere, Resolve or CapCut, or SRT/VTT subtitles. Rendering runs in local headless Chrome, so the video never uploads; captioning needs a Cuecaps Creator or Pro key.

Enables any MCP client to generate and edit images through ChatGPT's Codex backend, saving them locally with no API key or per-image billing.

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

Anonymize technical-drawing PDFs before sharing them — company names, logos, people, addresses, phone numbers, emails and websites found automatically and masked; tamper-proof flattened, metadata-free PDF or an expiring share link. NDA- and GDPR-safe drawing exchange.

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.

Enables scanning documents via network (eSCL) or USB (WIA/SANE) scanners, returning inline images, OCR text, or saved PDFs for Claude to read.

An MCP server that enables AI assistants to search royalty-free stock photos using natural language, example images, or similarity, and render results as an inline thumbnail grid.

Zero-auth hosted MCP for AI builders: optimize/convert images (WebP/AVIF/JPEG), paste-ready SVG QR codes, plus cited Cleanor Labs data on device storage capacity and next-gen image-format savings. No API key or signup.

Local MCP server for PDF and photo tasks: merge, split, rotate and number PDFs, convert images to PDF, and inspect or strip hidden photo metadata (EXIF/GPS). Runs entirely on your machine — no uploads, no accounts, no API keys.

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.