"A server for finding information about text analytics" matching MCP servers:

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

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.

A server that allows AI tools like Claude and Cursor to automate and control Photoshop through natural language commands, enabling tasks like editing PSDs, toggling layers, and generating marketing creatives.

Renders text into PNG canvases for use as input to local vision models. It exposes a generate_vision_text_image tool that returns standards-compliant MCP ImageContent, allowing capable clients like LibreChat to display the generated images directly.

Provides vision capabilities to Reasonix, enabling analysis of images/videos, OCR, and comparisons via OpenAI-compatible vision models.

Bridges DeepSeek (text-only) with vision models via MCP, enabling image description and compression using any OpenAI-compatible visual API.

Provides screen capture and optical character recognition (OCR) capabilities for entire displays or specific application windows. It enables users to list running applications, take screenshots, and extract text from images using multi-language support.

A FastMCP server implementation that provides a standardized interface for accessing AI models hosted on Replicate's API, currently supporting image generation with customizable parameters.

An MCP server for generating images and checking generation status through ComfyUI's API. It allows interaction with local ComfyUI instances by providing workflow-based image generation and status checking tools.

Provides tools to fetch IIIF manifests and retrieve specific image regions or scaled images for analysis. This server enables detailed interaction with International Image Interoperability Framework resources, supporting tasks like image description and transcription.

A server that enables Claude Desktop to generate images using Google's Gemini AI models through the Model Context Protocol (MCP).

MCP server that provides text-only models structured JSON vision evidence via direct vision API calls, with tools for image analysis, OCR, comparison, and lookup. It persists full evidence to disk and returns slim summaries to fit Reasonix's 32KB tool-result limit.

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.

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 exposes ComfyUI image and 3D generation as a single tool with smart prompt classification. It enables AI assistants to generate assets directly by selecting and running the appropriate ComfyUI workflow.

MCP server for tinify.ai image optimization. AI-powered upscaling, resizing/cropping, compression, and SEO filename & alt text generation — all in one tool.

Integrates OpenAI APIs into MCP-compatible clients, providing tools for text generation, chat completions, model discovery, image creation/editing, audio transcription, speech synthesis, embeddings, and content moderation.

MCP server that provides the describe_image tool, enabling AI clients to analyze local images by forwarding them to any OpenAI-compatible vision endpoint and returning a text description.

Enables AI assistants to generate, manage, and download AI-generated videos using OpenAI's Sora models, supporting text prompts, image-to-video, remixing, and more.

Local MCP server enabling Claude to create CapCut/Jianying video drafts with text, video, audio, images, subtitles, effects, stickers, and keyframe animations, then save drafts for the CapCut app. It wraps the VectCutAPI backend to generate draft files.