A
licenseA
qualityC
maintenanceEnables 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.
4
MIT
claude-media-mcp
Related Servers
Alternatives to claude-media-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceMulti-provider media generation MCP server that generates images, videos, audio, and transcriptions from text prompts using OpenAI, xAI, Gemini, ElevenLabs, and BFL through a single unified interface.658 npm2MIT
- AlicenseNot gradedqualityCmaintenanceEnables any MCP-capable agent to generate images in the cloud without a GPU, local models, or downloads, using the user's own API key for providers such as DashScope's Wan/Qwen image models and Volcano Ark's Seedream. It can list which channels are configured and return generated image links or save the files to a local directory, all locally over stdio.MIT
- AlicenseNot gradedqualityBmaintenanceEnables any MCP client to search and submit tasks across 350+ multimodal image, video, audio, and 3D models, run ComfyUI workflows and AI apps, upload/download files, and chat with LLMs. It supports stdio MCP integration and optional scope trimming for image, video, or audio only.2MIT
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible clients to generate images and videos, synthesize speech, clone and design voices, and dynamically configure API interactions.280 npmMIT
- FlicenseNot gradedqualityBmaintenanceEnables AI clients like Claude and ChatGPT to generate images and videos, animate images, create lip-synced videos, list TTS voices, and manage media via remote MCP tools.-
TDQS
A4.5/5.0
Scored across 4 tools
Disambiguation5/5
Each tool targets a distinct modality and action: generate_image (images), generate_audio (audio), and the start_video/check_video pair form a clearly documented async lifecycle. The start/check pairing is explicitly cross-referenced in both descriptions, so there is no risk of misselection.
Naming Consistency5/5
All four names follow a strict verb_noun snake_case pattern (generate_image, generate_audio, start_video, check_video). The verbs accurately reflect each tool's role, and the async pair uses a clean start/check convention rather than an inconsistent verb.
Tool Count5/5
Four tools is well-scoped for a media generation server covering image, audio, and video. Each tool earns its place: one per modality plus the necessary polling companion for the async video job.
Completeness4/5
The core generation lifecycle for images (including edits via input_images), audio (including prompt-based fal models), and video is fully covered. Minor gaps remain, such as no job cancellation, job listing, or file cleanup, but agents can work around these.
Maintenance
ActivityMaintained
ResponsivenessNo issues