A
licenseA
qualityC
maintenanceEnables text-to-image and text-to-video generation via the Agnes AI API, with support for multiple models, async video generation, and automatic file downloads.
6
1
MIT
agnes-2.5-flash-mcp
by JasonOracle
Related Servers
Alternatives to agnes-2.5-flash-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceGenerate images with OpenAI and Google Gemini directly from any MCP client, saving assets into your project with batch support and explicit file output.2166 npmMIT
- AlicenseAqualityCmaintenanceEnables video and image generation from any MCP client, with support for models like Veo 3.1, Grok Imagine, and Nano Banana, including text-to-video, image-to-video, image generation and editing.4MIT
- AlicenseAqualityBmaintenanceImage tools for coding agents: generate from text, edit one reference image, remove backgrounds, upscale 2x, and create reference-based sprite animations. The MCP server, CLI and REST API share one key, credit balance and request history. Needs a DreamLayer API key and paid credits; sprite sheets are beta.7482 npmMIT
- FlicenseAqualityCmaintenanceEnables AI assistants to generate images and videos via the Agnes AI API, supporting text-to-image, image-to-image, and video generation.31-
- AlicenseAqualityCmaintenanceEnables AI photo generation, editing, and video creation from MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.813 npmMIT
TDQS
A3.8/5.0
Scored across 4 tools
Disambiguation3/5
query_video and generate_image are clearly distinct, but create_video and generate_video describe the same core operation with different execution modes. The descriptions help differentiate them, but an agent could still easily pick the wrong one.
Naming Consistency3/5
All names follow a snake_case verb_noun pattern, but the verbs are inconsistent: query, generate, create, generate. The create_video vs generate_video pair is especially confusing since they are near-synonyms for the same capability.
Tool Count4/5
Four tools is a reasonable size for an image/video generation server. The only slight issue is that generate_video is a redundant sync variant of create_video, but it serves a compatibility purpose.
Completeness4/5
The core image generation and video creation lifecycles are covered: generate image, create video asynchronously, query status, and sync wait. Minor gaps like cancellation or image task polling are not blocking for the apparent domain.
Maintenance
ActivityMaintained
ResponsivenessNo issues