Find visual content across the web using descriptive search terms. Locate photos, illustrations, diagrams, charts, logos, or other images to illustrate concepts or discover visual resources.
Apache 2.0
133,413 tools. Last updated 2026-05-25 14:15
"Using Pollinations to Create Images Without Logos" matching MCP tools:
- Create images from text prompts using AI models. Specify dimensions and settings to generate visual content for various applications.MIT
- Convert text prompts into speech or music audio files using the Pollinations API, returning downloadable URLs for generated content.MIT
- Add watermarks or logos to images by specifying URLs, size, position, and opacity, then get a URL or save the watermarked image to a file.
- Initiate GitHub OAuth authentication to access Pollinations' multimodal content generation capabilities for images, text, and audio.
- Remove visually similar images from collections using semantic analysis to identify and return the most diverse subset, reducing redundancy while preserving visual variety.Apache 2.0
Matching MCP Servers
- FlicenseBqualityCmaintenanceEnables AI assistants to generate images, text, and audio content through the Pollinations APIs. Provides direct access to multimodal generation capabilities including image creation from text prompts, text-to-speech, and text generation.Last updated12552
- Alicense-qualityCmaintenanceA CLI tool that sets up a Model Control Protocol server and deploys it to Cloudflare Workers, allowing you to quickly create custom tools for your Cursor Agent just by writing TypeScript functions.Last updated7316MIT
Matching MCP Connectors
Create AI surveys with dynamic follow-up probing directly from your AI assistant.
Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
- Find images across the web to illustrate concepts, locate specific pictures, or discover visual resources. Returns images as base64-encoded JPEGs or URLs with metadata.Apache 2.0
- Create 1200×630 Open Graph images using Satori typography rendering without diffusion. Choose from templates like centered_hero or product_card, add optional background images, and render server-side without an API key.
- Generate images from text prompts or edit existing images using AI models, supporting multiple aspect ratios and resolutions, with results saved as files.MIT
- Create images from text descriptions. Choose size, style, model, and number of images to generate.MIT
- Generate and edit images using AI with text prompts and reference images, supporting multiple aspect ratios, resolutions, and style transfers.MIT
- Add text annotations, images, and fill form fields in PDF and scanned PDF files. Update PDFs with comments, logos, or completed forms.MIT
- Generate custom images using FLUX AI and save them as PNG files for use in PowerPoint presentations. Provide a text prompt and filename to create visual content.MIT
- Create a visual style from up to five reference images and return its ID for use in image generation.MIT
- Upscale and refine images with asset-type-aware processing: DAT2 for flat logos/icons, Real-ESRGAN/SUPIR for photoreal, img2img for diffusion polish, and Lanczos fallback.
- Modify existing images using text prompts and optional reference images. Upload an image file and describe changes to apply visual edits.MIT
- Convert PDFs and scanned images to JSON while preserving text, fonts, images, vectors, and formatting using the /pdf/convert/to/json2 endpoint.MIT
- Generate detailed descriptions of images using a public URL. Ideal for analyzing web images, this tool supports optional prompts to guide descriptions and works with any server deployment method.MIT
- Transform images into realistic embroidery effects for logos, artwork, or product designs. Use this tool to prepare designs for embroidery mockups and print-on-demand products.MIT
- Generate detailed descriptions of images using base64-encoded data. Ideal for uploaded images in chat conversations, providing accurate analysis via advanced vision APIs.MIT