Ideogram MCP Server
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Alternatives to Ideogram MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables LLM applications to generate, edit, describe, upscale, remix, reframe, and replace backgrounds in images using the Ideogram AI API.20MIT
- AlicenseBqualityNot gradedmaintenanceEnables AI-powered image generation using the Ideogram V3 Balanced model via Replicate. Supports text-to-image generation, inpainting, style transfer with 60+ presets, custom resolutions, and reproducible outputs with local image storage.2-
- AlicenseNot gradedqualityCmaintenanceEnables generating, editing, remixing, upscaling, and describing images through the Ideogram V3 API from any MCP client.33MIT
- AlicenseAqualityDmaintenanceProvides image generation, modification, and analysis capabilities using Google's Gemini API, enabling AI-powered image operations through natural language.523MIT
- AlicenseNot gradedqualityDmaintenanceEnables image and video generation from text, image editing, and text-to-video workflows using AI models via OpenRouter and fal.ai.MIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables high-quality AI image generation with superior text rendering using the fal-ai/ideogram/v3 model. Supports advanced style control, custom dimensions, color palettes, reference images, and queue-based generation with automatic local image downloads.-
TDQS
Scored across 4 tools
Tool names are distinct (describe, download_images, edit, generate) but without descriptions, an agent cannot reliably determine their boundaries. For example, 'describe' might overlap with 'generate' if generating a description, leading to potential misselection.
Naming is inconsistent: 'describe', 'edit', and 'generate' are single verbs, while 'download_images' uses a verb_noun pattern with an underscore. No consistent verb_noun or camelCase pattern is followed.
4 tools is within the typical well-scoped range (3-15), but for an image generation server, the set feels slightly thin. Still, each tool appears to serve a distinct purpose without being excessive.
The tools cover basic operations: generate, edit, describe, and download images. However, obvious gaps exist, such as missing list, delete, or style-transfer tools, which may cause agent failures in common workflows.