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MCP verified MIT Self-run

Wan 3 0 API

mcp-anil-matcha-wan-3-0-api · by Anil-matcha

Wan 3.0 API Python SDK and MCP server for AI video generation: text-to-video, image-to-video, multimodal references, uploads, and async job polling.

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Install

$ agentstack add mcp-anil-matcha-wan-3-0-api

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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15d ago

Declared compatibility

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Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Wan 3.0 API — Python Wrapper

[](https://muapi.ai) [](LICENSE) [](https://www.python.org/)

A focused Python SDK and MCP server for Wan 3.0-compatible AI video-generation APIs. It supports text-to-video, image-to-video, multimodal reference-to-video, file upload, and asynchronous job polling.

Related Projects

Install

git clone https://github.com/Anil-matcha/Wan-3.0-API.git
cd Wan-3.0-API
pip install -r requirements.txt
cp .env.example .env

Set MUAPI_API_KEY in .env. Set WAN_API_BASE_URL only if you use a compatible provider other than the default MuAPI base URL.

Quick start

from wan_api import WanAPI

api = WanAPI()
job = api.text_to_video(
    "A cinematic tracking shot of a red fox crossing a snowy forest at sunrise",
    aspect_ratio="16:9",
    duration=5,
    resolution="720p",
)

result = api.wait_for_completion(job["request_id"])
print(result)

Image to video

job = api.image_to_video(
    prompt="The subject turns toward camera as a gentle breeze moves their hair.",
    images_list=["https://example.com/reference.jpg"],
    aspect_ratio="9:16",
    duration=5,
)

API surface

| Method | Purpose | | --- | --- | | text_to_video() | Create a video from a text prompt. | | image_to_video() | Animate one or more image URLs. | | reference_to_video() | Condition a video on image, video, or audio references. | | upload_file() | Upload a local reference file. | | get_result() / wait_for_completion() | Retrieve an asynchronous job's output. |

MCP server

Expose Wan tools to MCP-capable clients:

python mcp_server.py

The server provides text_to_video, image_to_video, reference_to_video, and get_task_status tools.

Endpoint compatibility

The client uses wan-3.0-t2v, wan-3.0-i2v, and wan-3.0-reference-to-video paths beneath WAN_API_BASE_URL. If your provider names its endpoints differently, pass that provider's compatible base URL or adapt the small client module before use.

License

[MIT](LICENSE)

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.