free-claude-ai-video-generator
Give Claude video generation through Muapi MCP — setup, model guidance, and API examples
Install / Use
claude mcp add Anil-matcha -- npx -y github:Anil-matcha/free-claude-ai-video-generatorIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of free-claude-ai-video-generator
free-claude-ai-video-generator scores 78/100 on our quality scale, 3656th of 4,659 Development & Engineering skills we index.
Its MCP Server is 6.1 KB long, well organised into 15 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated 29 days ago, so free-claude-ai-video-generator is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 87/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
free-claude-ai-video-generator compared with similar skills
All 4 of these similar skills score higher than free-claude-ai-video-generator; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| free-claude-ai-video-generator (this skill)by Anil-matcha | 78 | 3 | 29d ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 106.4k | 5d ago | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 105.7k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.3k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 67.6k | 2d ago | CLAUDE.md |
Frequently asked questions
- How do I install free-claude-ai-video-generator?
- Run
claude mcp add Anil-matcha -- npx -y github:Anil-matcha/free-claude-ai-video-generator. The install tabs above show the steps for each supported agent. - Which AI agents does free-claude-ai-video-generator work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is free-claude-ai-video-generator safe to use?
- It is MIT-licensed and scores 87/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is free-claude-ai-video-generator still maintained?
- The repository was last updated 29 days ago, so free-claude-ai-video-generator is actively maintained.
Skill content
View source on GitHubFree Claude AI Video Generator
Give Claude video generation through Muapi's MCP server. Connect Claude Code to muapi-cli, then ask it to generate a clip from text or animate an image using Muapi's muapi_video_generate and muapi_video_from_image tools.
Muapi · Free Claude AI Video Generator guide · Video model catalog · Create an API key · CLI and MCP docs
Related Projects
- free-claude-ai-image-generator — the companion Claude image workflow.
- AI-Video-API — compare Muapi video API endpoints and direct REST calls.
- Open-Generative-AI — a desktop and web app for working with image and video models.
What you can do
- Generate a video from a text prompt with
muapi_video_generate. - Animate a public image URL with
muapi_video_from_image. - Choose from Muapi's available text-to-video and image-to-video models.
- Test the connection with a free sandbox API key. Sandbox responses are mock results, not rendered videos.
Claude does not render video itself. It interprets your request and calls the connected MCP tool; Muapi submits the generation to the selected model. Real generations are charged according to model, duration, resolution, and options. Check the current catalog and pricing before estimating a job.
Connect Claude Code
1. Install the Muapi CLI
Requires Node.js/npm or Python/pip:
npm install -g muapi-cli
# Or: pip install muapi-cli
2. Create an API key
Create a key at muapi.ai/access-keys. Enable sandbox mode to test the MCP connection without spending credits. Sandbox mode returns mock output and does not render a video.
3. Register the MCP server
claude mcp add muapi -e MUAPI_API_KEY=YOUR_MUAPI_KEY -- muapi mcp serve
claude mcp list
Start a new Claude Code session and confirm muapi is connected. Keep the API key in the environment/configuration; do not paste it into prompts or commit it to a project.
4. Ask Claude for a clip
For example:
Generate a 5-second cinematic shot of a red fox crossing a snowy forest at dawn. Use a 16:9 frame and smooth tracking camera movement.
Or animate an image:
Animate this image into a 5-second clip. Keep the subject consistent and add a slow camera push-in: https://example.com/my-image.jpg
Claude selects and calls the relevant Muapi video tool. You can request a specific model when you know which one you want.
Tool inputs
The MCP tools accept these common inputs. Model-specific options vary; check the model's schema before relying on additional fields.
| Tool | Required inputs | Common optional inputs |
|---|---|---|
| muapi_video_generate | prompt | model, duration, aspect_ratio |
| muapi_video_from_image | prompt, image_url | model, duration, aspect_ratio, end_image_url, last_image_url |
Use a publicly reachable image URL for image_url. For models that support start/end frames, end_image_url or last_image_url can provide the final frame. Availability and accepted values depend on the chosen model.
Direct REST example
The MCP server is convenient for Claude. You can also call a video endpoint directly. This example submits a text-to-video task and polls for completion:
export MUAPI_API_KEY="your-key"
curl -sS -X POST "https://api.muapi.ai/api/v1/seedance-2.5-text-to-video" \
-H "Content-Type: application/json" \
-H "x-api-key: ${MUAPI_API_KEY}" \
-d '{
"prompt": "A red fox crosses a snowy forest at dawn, cinematic tracking shot",
"duration": 5,
"aspect_ratio": "16:9"
}'
The submission response includes a request ID. Poll it with:
curl -sS "https://api.muapi.ai/api/v1/predictions/${REQUEST_ID}/result" \
-H "x-api-key: ${MUAPI_API_KEY}"
Poll until the task reaches a terminal state, then read the result URLs from the response. Replace the example endpoint and fields with the current schema for your selected model. Do not resubmit a billable request just because a poll timed out; first check the original request ID.
For an image-to-video REST example and endpoint-specific fields, see the AI Video API guide.
Claude Desktop and other MCP clients
Muapi CLI includes a stdio MCP server that can be configured in MCP-compatible applications. The exact settings screen and configuration file vary by client. Follow that client's stdio-server instructions and provide muapi mcp serve as the command, with MUAPI_API_KEY set in its environment. See the Muapi MCP documentation for current setup details.
Troubleshooting
- Server is disconnected: run
claude mcp list, verify the CLI is installed, and restart the Claude Code session after registering the server. - Authentication fails: check that
MUAPI_API_KEYis set in the MCP server environment and that the key is active. - Sandbox output is not a video: expected behavior. Sandbox keys return mock output; use a regular key for real generation.
- Image animation fails: confirm the image URL is publicly reachable and supported by the selected model.
- A model rejects an option: model inputs differ. Check its current schema in the video catalog and remove unsupported fields.
- A task is still processing: poll the returned request ID; generation is asynchronous.
Security and cost
- Never commit API keys. Use environment variables or your MCP client's protected environment settings.
- Sandbox keys are for free wiring checks and return mock results.
- Real model calls consume credits. Video pricing can vary by model, duration, resolution, and options; verify the live Muapi video catalog before running a batch.
- Treat generated asset URLs as output links that may have limited retention. Download outputs you need to keep.
License
MIT. See LICENSE.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
