Is io.github.z416479660/avc-test-py-mcp safe to use?

io.github.z416479660/avc-test-py-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.z416479660/avc-test-py-mcp?

io.github.z416479660/avc-test-py-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

Is io.github.z416479660/avc-test-py-mcp actively maintained?

io.github.z416479660/avc-test-py-mcp is actively maintained — last commit was 1 day ago.

io.github.z416479660/avc-test-py-mcp

MCP server for video enhancement (create_task, get_task_status, enhance_video_sync)

ActiveNot tested

Entertainment

GitHub

28DNo CVEsactive

Quick Install

{
  "mcpServers": {
    "io-github-z416479660-avc-test-py-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Setup guide

No install config available. Check the server's README for setup instructions.

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-z416479660-avc-test-py-mcp)](https://mcppedia.org/s/io-github-z416479660-avc-test-py-mcp)

Should you use this server?

MCP server for video enhancement (create_task, get_task_status, enhance_video_sync)

✓

Is it safe?

No package registry to scan.

No authentication — any process on your machine can connect.

License not specified.

✓

Is it maintained?

Last commit 1 days ago.

Will it work with my client?

Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

README

avc-test-py-mcp (Python)

基于 MCP 协议的视频增强服务，作为 MCP Client-Server 与 FastAPI HTTP Server 交互。

功能

提供以下 MCP Tools：

create_task - 创建视频增强任务（支持 URL 或本地文件上传）
get_task_status - 查询任务状态
enhance_video_sync - 同步增强视频（阻塞等待）

安装

从 PyPI 安装（推荐）

# 使用 pip 安装
pip install avc-test-py-mcp

# 或使用 uv 安装
uv pip install avc-test-py-mcp

从源码安装

git clone https://github.com/yourusername/avc-test-py-mcp.git
cd python_client

# 使用 uv 安装（推荐）
uv pip install -e ".[dev]"

# 或使用 pip 安装
pip install -e ".[dev]"

使用方法

1. 命令行启动

# 直接运行（安装后）
avc-test-py-mcp --base-url https://mcp.luluhero.com --api-key your-api-key

# 或使用环境变量
export HTTP_API_BASE_URL=https://mcp.luluhero.com
export HTTP_API_KEY=your-api-key
avc-test-py-mcp

2. 在 Claude Desktop 中配置

编辑 Claude Desktop 配置文件：

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "video-enhancement": {
      "command": "avc-test-py-mcp",
      "args": [
        "--base-url",
        "https://mcp.luluhero.com",
        "--api-key",
        "your-api-key"
      ]
    }
  }
}

3. 使用 uv run 运行（开发模式）

uv run avc-test-py-mcp --base-url https://mcp.luluhero.com --api-key your-api-key

提供的 Tools

create_task

创建视频增强任务（异步）。

参数：

video_source (string, required): 视频 URL 或本地文件路径
type (string, optional): 上传类型，默认 "url"
- 可选值: "url" - 网络视频URL, "local" - 本地文件路径
resolution (string, optional): 目标分辨率，默认 720p
- 可选值: 480p, 540p, 720p, 1080p, 2k

使用示例：

# URL 方式
{
  "video_source": "https://example.com/video.mp4",
  "type": "url",
  "resolution": "1080p"
}

# 本地文件方式
{
  "video_source": "/path/to/local/video.mp4",
  "type": "local",
  "resolution": "1080p"
}

返回值：

{
  "success": true,
  "task_id": "xxx",
  "status": "wait"
}

get_task_status

查询任务状态。

参数：

task_id (string, required): 任务ID

使用示例：

{
  "task_id": "task-123-abc"
}

返回值：

{
  "success": true,
  "task_id": "xxx",
  "status": "completed",
  "progress": 100,
  "video_url": "https://...",
  "error_message": null,
  "created_at": "2024-01-01T00:00:00Z",
  "updated_at": "2024-01-01T00:01:00Z"
}

enhance_video_sync

同步增强视频（阻塞等待完成）。

参数：

video_source (string, required): 视频 URL 或本地文件路径
type (string, optional): 上传类型，默认 "url"
- 可选值: "url" - 网络视频URL, "local" - 本地文件路径
resolution (string, optional): 目标分辨率，默认 720p
poll_interval (number, optional): 轮询间隔（秒），默认 5
timeout (number, optional): 超时时间（秒），默认 600

使用示例：

{
  "video_source": "https://example.com/video.mp4",
  "type": "url",
  "resolution": "1080p",
  "poll_interval": 5,
  "timeout": 600
}

返回值：

{
  "success": true,
  "task_id": "xxx",
  "status": "completed",
  "progress": 100,
  "video_url": "https://..."
}

文件上传说明

当 type 设置为 "local" 时，MCP Server 会：

读取本地文件
将文件转为 base64 编码
上传到视频增强服务

限制：

最大文件大小：100MB

环境变量

变量名	说明	默认值
`HTTP_API_BASE_URL`	FastAPI HTTP Server 地址	`https://mcp.luluhero.com`
`HTTP_API_KEY`	API 认证密钥	无

开发

# 克隆仓库
git clone https://github.com/yourusername/avc-test-py-mcp.git
cd python_client

# 安装开发依赖
uv pip install -e ".[dev]"

# 运行测试
pytest

# 代码格式化
ruff format .
ruff check --fix .

发布到 PyPI

# 安装构建工具
uv pip install build twine

# 构建分发包
python -m build

# 上传到 PyPI（测试）
python -m twine upload --repository testpypi dist/*

# 上传到 PyPI（正式）
python -m twine upload dist/*

Lic

... View full README on GitHub

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Score Breakdown

MCPpedia Score

Click each category to see evidence

28D

Last scored 8h ago

How we score →

Security

3/30

No known vulnerabilities.

○

Known CVEs — No package registry to scan

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

✓

Tool stability — Tool definitions stable

○

Dependency health — No package to analyze

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

Reviews

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.z416479660/avc-test-py-mcp safe to use?: io.github.z416479660/avc-test-py-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.z416479660/avc-test-py-mcp?: io.github.z416479660/avc-test-py-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.z416479660/avc-test-py-mcp?: io.github.z416479660/avc-test-py-mcp is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.
Is io.github.z416479660/avc-test-py-mcp actively maintained?: io.github.z416479660/avc-test-py-mcp is actively maintained — last commit was 1 day ago.

Similar servers

View all →

Claude Historian Mcp

No CVEs92A

📜 An MCP server for conversation history search and retrieval in Claude Code

2 toolsremote208209/wk2d ago

MiniMax MCP

No CVEs91A

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

4 toolsremote1.4k11h ago

Apple Docs Mcp

No CVEs89A

MCP server for Apple Developer Documentation - Search iOS/macOS/SwiftUI/UIKit docs, WWDC videos, Swift/Objective-C APIs & code examples in Claude, Cursor & AI assistants

9 toolsremote1.2k2.0k/wk29d ago

Ggmcp

No CVEs88A

MCP server for scanning and remediating hardcoded secrets using GitGuardian’s API. Detect over 500 secret types and prevent credential leaks before code goes public.

5 toolsremote341d ago

MCP Security Weekly

Get CVE alerts and security updates for io.github.z416479660/avc-test-py-mcp and similar servers.

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

avc-test-py-mcp (Python)

基于 MCP 协议的视频增强服务，作为 MCP Client-Server 与 FastAPI HTTP Server 交互。

功能

提供以下 MCP Tools：

create_task - 创建视频增强任务（支持 URL 或本地文件上传）
get_task_status - 查询任务状态
enhance_video_sync - 同步增强视频（阻塞等待）

安装

从 PyPI 安装（推荐）

# 使用 pip 安装
pip install avc-test-py-mcp

# 或使用 uv 安装
uv pip install avc-test-py-mcp

从源码安装

git clone https://github.com/yourusername/avc-test-py-mcp.git
cd python_client

# 使用 uv 安装（推荐）
uv pip install -e ".[dev]"

# 或使用 pip 安装
pip install -e ".[dev]"

使用方法

1. 命令行启动

# 直接运行（安装后）
avc-test-py-mcp --base-url https://mcp.luluhero.com --api-key your-api-key

# 或使用环境变量
export HTTP_API_BASE_URL=https://mcp.luluhero.com
export HTTP_API_KEY=your-api-key
avc-test-py-mcp

2. 在 Claude Desktop 中配置

编辑 Claude Desktop 配置文件：

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "video-enhancement": {
      "command": "avc-test-py-mcp",
      "args": [
        "--base-url",
        "https://mcp.luluhero.com",
        "--api-key",
        "your-api-key"
      ]
    }
  }
}

3. 使用 uv run 运行（开发模式）

uv run avc-test-py-mcp --base-url https://mcp.luluhero.com --api-key your-api-key

提供的 Tools

create_task

创建视频增强任务（异步）。

参数：

video_source (string, required): 视频 URL 或本地文件路径
type (string, optional): 上传类型，默认 "url"
- 可选值: "url" - 网络视频URL, "local" - 本地文件路径
resolution (string, optional): 目标分辨率，默认 720p
- 可选值: 480p, 540p, 720p, 1080p, 2k

使用示例：

# URL 方式
{
  "video_source": "https://example.com/video.mp4",
  "type": "url",
  "resolution": "1080p"
}

# 本地文件方式
{
  "video_source": "/path/to/local/video.mp4",
  "type": "local",
  "resolution": "1080p"
}

返回值：

{
  "success": true,
  "task_id": "xxx",
  "status": "wait"
}

get_task_status

查询任务状态。

参数：

task_id (string, required): 任务ID

使用示例：

{
  "task_id": "task-123-abc"
}

返回值：

{
  "success": true,
  "task_id": "xxx",
  "status": "completed",
  "progress": 100,
  "video_url": "https://...",
  "error_message": null,
  "created_at": "2024-01-01T00:00:00Z",
  "updated_at": "2024-01-01T00:01:00Z"
}

enhance_video_sync

同步增强视频（阻塞等待完成）。

参数：

video_source (string, required): 视频 URL 或本地文件路径
type (string, optional): 上传类型，默认 "url"
- 可选值: "url" - 网络视频URL, "local" - 本地文件路径
resolution (string, optional): 目标分辨率，默认 720p
poll_interval (number, optional): 轮询间隔（秒），默认 5
timeout (number, optional): 超时时间（秒），默认 600

使用示例：

{
  "video_source": "https://example.com/video.mp4",
  "type": "url",
  "resolution": "1080p",
  "poll_interval": 5,
  "timeout": 600
}

返回值：

{
  "success": true,
  "task_id": "xxx",
  "status": "completed",
  "progress": 100,
  "video_url": "https://..."
}

文件上传说明

当 type 设置为 "local" 时，MCP Server 会：

读取本地文件
将文件转为 base64 编码
上传到视频增强服务

限制：

最大文件大小：100MB

环境变量

变量名	说明	默认值
`HTTP_API_BASE_URL`	FastAPI HTTP Server 地址	`https://mcp.luluhero.com`
`HTTP_API_KEY`	API 认证密钥	无

开发

# 克隆仓库
git clone https://github.com/yourusername/avc-test-py-mcp.git
cd python_client

# 安装开发依赖
uv pip install -e ".[dev]"

# 运行测试
pytest

# 代码格式化
ruff format .
ruff check --fix .

发布到 PyPI

# 安装构建工具
uv pip install build twine

# 构建分发包
python -m build

# 上传到 PyPI（测试）
python -m twine upload --repository testpypi dist/*

# 上传到 PyPI（正式）
python -m twine upload dist/*

Lic

... View full README on GitHub