A
AzadKurt/videoworker-mcp
FFmpeg for AI agents
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
官方说明FFmpeg for AI agents. Upload local media, process video/audio/images remotely, and download results via MCP.
安装与配置
取自该仓库的安装命令
pip install videoworker-mcp
解析自我们于 2026-11-05 抓取的该仓库 README;我们未执行过。
这条是仓库自己写的安装方式,不是 MCP 客户端配置,所以不生成 JSON。
配置项的键名以你的客户端为准:客户端与 CLI
- ★ 数取值
- 0 ★ · AzadKurt/videoworker-mcp · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
- 来源明细
- 从该仓库的 GitHub 页面直接读取 · 条目类型:开源项目
- 收录与活跃
- 收录于 2026-11-06 · 最近见到 2026-11-14 · 共见到 9 次 · 被 2 个来源列出
- 评分构成
- 综合分 203 · 2 个来源 · repo
- 安装
pip install videoworker-mcp
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是
pip install videoworker-mcp。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。它适合谁 / 用来做什么?
我们把它归在这些标签下: 开源项目。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库
AzadKurt/videoworker-mcp;我们收录于 2026-11-06;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。# videoworker MCP
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Give your AI agent FFmpeg: upload local media, run a remote job, and save the result.
An MIT-licensed, local stdio MCP connector for the videoworker
video, audio and image processing API. Bring standard FFmpeg arguments; our workers
run them. No local FFmpeg installation required.
Get started free ·
Hosted MCP ·
REST API ·
Releases ·
Listed on Glama
## Choose your connection
| | Local connector — this repo | Hosted MCP |
| Best for | Local file uploads and downloads | Connecting without installing Python |
| Transport | stdio | Streamable HTTP |
| Sign in | Scoped API key in a private file | Browser login and OAuth consent |
| Local file access | Named media in your selected folders | None; upload via web or REST first |
| Setup | Quick start below | Hosted setup guide |
Both use the same account and allowance. The connector is free software; hosted
processing follows the current plans and limits.
Free accounts receive a small monthly allowance. Check pricing for the Starter
launch offer and its availability; a trial is not required to use Free.
## Quick start
### 1. Install — no checkout or Git needed
Requires Python 3.12 or newer. Install the versioned release wheel:
sh
python -m pip install "https://github.com/AzadKurt/videoworker-mcp/releases/download/v0.2.0/videoworkermcp-0.2.0-py3-none-any.whl"
python -m videoworkermcp --version
On Windows, use py -3.12 instead of python if needed. On macOS/Linux, your
command may be python3. Use that same Python installation in your MCP config.
Print its full path with:
sh
python -c "import sys; print(sys.executable)"
Alternative with Git installed:
sh
python -m pip install "git+https://github.com/AzadKurt/videoworker-mcp.git@v0.2.0"
This package is not on PyPI yet. pip install videoworker-mcp is not the command
for this release.
### 2. Create your workspace and private key file
Sign in to your workspace. Under API keys,
create a key with usage:read, files:write, jobs:read, jobs:write and
outputs:read for all ten tools. Save it as plain text in a file accessible
only to your user. On macOS/Linux: chmod 600 /absolute/path/to/key. On Windows,
keep it in your user profile and restrict its file permissions to you.
Create uploads and downloads folders. Both must exist and use absolute
paths. Keep only authorized media in uploads; keep the key file elsewhere.
Never paste the key into a chat or a shared client config.
### 3. Add your client config
Replace the Python and file/folder paths with your own. Merge the entry into an
existing config, preserving other servers. The values are paths, not secrets.
Restart or reload your client after saving.
#### Codex
Add to ~/.codex/config.toml:
toml
[mcpservers.videoworker]
command = "/absolute/path/to/python"
args = ["-m", "videoworkermcp"]
startuptimeoutsec = 30
tooltimeoutsec = 960
[mcpservers.videoworker.env]
VIDEOWORKERAPIKEYFILE = "/absolute/path/to/videoworker.key"
VIDEOWORKERUPLOADROOT = "/absolute/path/to/uploads"
VIDEOWORKERDOWNLOADROOT = "/absolute/path/to/downloads"
Windows forward-slash paths work, e.g. C:/Users/YOU/media/uploads. Ready-to-edit:
Windows / macOS and Linux.
Keep the hosted connection named videoworkerremote if you also use it.
An MIT-licensed, local stdio MCP connector for the videoworker
video, audio and image processing API. Bring standard FFmpeg arguments; our workers
run them. No local FFmpeg installation required.
Get started free ·
Hosted MCP ·
REST API ·
Releases ·
Listed on Glama
## Choose your connection
| | Local connector — this repo | Hosted MCP |
| Best for | Local file uploads and downloads | Connecting without installing Python |
| Transport | stdio | Streamable HTTP |
| Sign in | Scoped API key in a private file | Browser login and OAuth consent |
| Local file access | Named media in your selected folders | None; upload via web or REST first |
| Setup | Quick start below | Hosted setup guide |
Both use the same account and allowance. The connector is free software; hosted
processing follows the current plans and limits.
Free accounts receive a small monthly allowance. Check pricing for the Starter
launch offer and its availability; a trial is not required to use Free.
## Quick start
### 1. Install — no checkout or Git needed
Requires Python 3.12 or newer. Install the versioned release wheel:
sh
python -m pip install "https://github.com/AzadKurt/videoworker-mcp/releases/download/v0.2.0/videoworkermcp-0.2.0-py3-none-any.whl"
python -m videoworkermcp --version
On Windows, use py -3.12 instead of python if needed. On macOS/Linux, your
command may be python3. Use that same Python installation in your MCP config.
Print its full path with:
sh
python -c "import sys; print(sys.executable)"
Alternative with Git installed:
sh
python -m pip install "git+https://github.com/AzadKurt/videoworker-mcp.git@v0.2.0"
This package is not on PyPI yet. pip install videoworker-mcp is not the command
for this release.
### 2. Create your workspace and private key file
Sign in to your workspace. Under API keys,
create a key with usage:read, files:write, jobs:read, jobs:write and
outputs:read for all ten tools. Save it as plain text in a file accessible
only to your user. On macOS/Linux: chmod 600 /absolute/path/to/key. On Windows,
keep it in your user profile and restrict its file permissions to you.
Create uploads and downloads folders. Both must exist and use absolute
paths. Keep only authorized media in uploads; keep the key file elsewhere.
Never paste the key into a chat or a shared client config.
### 3. Add your client config
Replace the Python and file/folder paths with your own. Merge the entry into an
existing config, preserving other servers. The values are paths, not secrets.
Restart or reload your client after saving.
#### Codex
Add to ~/.codex/config.toml:
toml
[mcpservers.videoworker]
command = "/absolute/path/to/python"
args = ["-m", "videoworkermcp"]
startuptimeoutsec = 30
tooltimeoutsec = 960
[mcpservers.videoworker.env]
VIDEOWORKERAPIKEYFILE = "/absolute/path/to/videoworker.key"
VIDEOWORKERUPLOADROOT = "/absolute/path/to/uploads"
VIDEOWORKERDOWNLOADROOT = "/absolute/path/to/downloads"
Windows forward-slash paths work, e.g. C:/Users/YOU/media/uploads. Ready-to-edit:
Windows / macOS and Linux.
Keep the hosted connection named videoworkerremote if you also use it.
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/azadkurt-videoworker-mcp/)
- 来源
- github · https://github.com/AzadKurt/videoworker-mcp
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- 开源项目
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