Avc Test Py Mcp
by z416479660communityv1.0.0
An MCP server for a video enhancement service that interacts with a FastAPI HTTP backend. It lets clients create enhancement tasks from a video URL or local file, check task status, or run enhancement synchronously until completion.
From the registry: MCP server for video enhancement (create_task, get_task_status, enhance_video_sync)
Install & configure
Prerequisites
- requiredInstall the Python packageInstall the MCP server from PyPI using pip or uv.
https://pypi.org/project/avc-test-py-mcp/$ pip install avc-test-py-mcp
Install in your client
Paste into the AI you're chatting with — it will figure out the rest
Please install the `avc-test-py-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install the Python package** — Install the MCP server from PyPI using pip or uv. Run: `pip install avc-test-py-mcp` (https://pypi.org/project/avc-test-py-mcp/)
Canonical MCP server config (stdio transport):
- command: `avc-test-py-mcp`
- args: []
- required environment variables:
- `HTTP_API_KEY`: API key used to authenticate to the video enhancement service. (example: `<your-api-key>`)
- optional environment variables:
- `HTTP_API_BASE_URL`: Base URL of the FastAPI HTTP video enhancement service. (example: `<your-base-url>`)
Note: The README shows both CLI flags and environment variables. For canonical MCP config, prefer environment variables because they avoid embedding secrets in args. The server can also be run with --base-url <your-base-url> --api-key <your-api-key>. HTTP_API_BASE_URL defaults to the service URL in the README, so it is optional unless you need a different endpoint.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Note: The README shows both CLI flags and environment variables. For canonical MCP config, prefer environment variables because they avoid embedding secrets in args. The server can also be run with --base-url <your-base-url> --api-key <your-api-key>. HTTP_API_BASE_URL defaults to the service URL in the README, so it is optional unless you need a different endpoint.
Tools (3)
create_task
Create an asynchronous video enhancement task from a URL or local file.
get_task_status
Query the status and progress of an enhancement task by task ID.
enhance_video_sync
Enhance a video synchronously and block until the task completes.
Environment variables
HTTP_API_BASE_URLrequiredBase URL of the FastAPI HTTP server used by the MCP server.HTTP_API_KEYrequiredAPI authentication key for accessing the video enhancement service.Prerequisites
- • Python 3.10+
Packages
avc-test-py-mcp
pypiv0.1.3transport: stdio
avc-test-js-mcp
npmv0.1.6transport: stdio
Details
- Language
- Python
- License
- MIT
- Released
- Apr 14, 2026
- Last commit
- May 20, 2026
- Registry name
- io.github.z416479660/avc-test-py-mcp