Agnes AI MCP Server
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Alternatives to Agnes AI MCP Server
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Related Servers
- FlicenseAqualityCmaintenanceEnables AI assistants to generate images and videos via the Agnes AI API, supporting text-to-image, image-to-image, and video generation.31-
- AlicenseAqualityDmaintenanceEnables video generation from text prompts or images using Agnes AI's video models, with async task submission and status polling.210 npm1MIT
- AlicenseAqualityCmaintenanceEnables MCP-compatible IDEs to generate images and videos using Agnes 2.5 flash models through natural language prompts, with tools for image generation, asynchronous video creation, and video polling.432 PyPIMIT
- AlicenseAqualityDmaintenanceEnables text-to-image generation using Agnes Image 2.1 Flash via OpenAI-compatible API, supporting aspect ratios, custom resolution, and multi-image generation.18 npm1MIT
- AlicenseBqualityBmaintenanceEnables AI agents to generate and edit images and videos using the Agnes API (Chinese version). Supports standard and high-resolution image generation, image editing, video submission, and status polling.72MIT
- AlicenseBqualityBmaintenanceEnables generating images from text or transforming existing images using GPT-Image-compatible APIs, with support for OpenAI and Agnes AI backends.2MIT
TDQS
Scored across 6 tools
The primary tools are clearly separated by source and target modality (text/image/video), making their main purposes easy to distinguish. However, text_to_video also accepts optional image(s) and keyframe modes, which creates some boundary overlap with image_to_video and keyframe_animation.
Four tools follow a clean source_to_target naming pattern (text_to_image, image_to_image, text_to_video, image_to_video), and all names use snake_case. keyframe_animation and check_video_status break the pattern slightly, but the convention is still predictable and readable.
Six tools is a well-scoped size for a media generation server, covering both image and video generation without redundancy or bloat. Each tool provides a distinct high-level capability, and the count feels appropriate for the domain.
The set covers the core generation workflows: text-to-image, image-to-image, text-to-video, image-to-video, and keyframe animation, plus async status checking. Minor gaps exist, such as no model listing or task cancellation, but agents can complete all primary generation tasks without dead ends.