MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者提供的说明(英文原文)
An MCP server that provides Clappia workspace, forms, workflows, submissions, and analytics
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
CLAPPIA_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"clappia": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"CLAPPIA_API_KEY",
"docker.io/okaru413/clappia-mcp:1.0.1"
],
"env": {
"CLAPPIA_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add clappia --env CLAPPIA_API_KEY=your-value -- docker run -i --rm -e CLAPPIA_API_KEY docker.io/okaru413/clappia-mcp:1.0.1运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"clappia": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"CLAPPIA_API_KEY",
"docker.io/okaru413/clappia-mcp:1.0.1"
],
"env": {
"CLAPPIA_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"clappia": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"CLAPPIA_API_KEY",
"docker.io/okaru413/clappia-mcp:1.0.1"
],
"env": {
"CLAPPIA_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 clappia-dev 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:CLAPPIA_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.0.1)于13个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。
同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
A Python-based MCP server that provides a comprehensive interface for interacting with the Clappia platform. This server enables programmatic management of Clappia applications, forms, submissions, and more.
Clappia is a no-code platform that allows businesses, operations teams, and non-developers to create custom apps—like inspection forms, approval workflows, field data collection tools, internal dashboards, and more—without writing a single line of code. It's used across industries for automating manual processes, digitizing paperwork, and improving operational efficiency. Click here to learn more.
claude_desktop_config.json: json { "mcpServers": { "clappia-mcp": { "command": "uv", "args": [ "--directory", "/Users/ /Desktop/clappia-mcp", "run", "clappia-mcp.py" ], "env": { "CLAPPIA_API_KEY": " ", "CLAPPIA_WORKPLACE_ID": " " } } } } git clone https://github.com/clappia-dev/clappia-mcp.git
cd clappia-mcp
# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh
uv sync
clappia-mcp/
├── clappia-mcp.py # Main MCP server implementation ├── tools/ # Core functionality modules │ ├── add_field.py # Field addition functionality │ ├── create_app.py # App creation functionality │ ├── create_submission.py # Submission creation │ ├── edit_submission.py # Submission editing │ ├── get_definition.py # App definition retrieval │ ├── get_submissions.py # Submission retrieval │ ├── get_submissions_aggregation.py # Analytics functionality │ ├── update_field.py # Field update functionality │ ├── update_submission_owners.py # Owner management │ └── update_submission_status.py # Status management ├── pyproject.toml # Project metadata and dependencies ├── uv.lock # Dependency lock file (if using uv) └── .env # Environment variables
claude_desktop_config.json file from tools.create_app import create_app, Section, Field
result = create_app( app_name="Employee Survey", requesting_user_email_address="user@company.com", sections=[ Section( sectionName="Personal Information", fields=[ Field( fieldType="singleLineText", label="Full Name", required=True ) ] ) ] )
from tools.add_field import add_field_to_app
result = add_field_to_app( app_id="APP123", requesting_user_email_address="user@company.com", section_index=0, field_index=1, field_type="singleLineText", label="Employee ID", required=True, validation="number", block_width_percentage_desktop=50, block_width_percentage_mobile=100 )
from tools.update_field import update_field_in_app
result = update_field_in_app( app_id="APP123", requesting_user_email_address="user@company.com", field_name="employeeName", label="Full Employee Name", required=True, validation="none", display_condition="status == 'active'" )
from tools.create_submission import create_app_submission
result = create_app_submission( app_id="APP123", data={"employeeName": "John Doe", "employeeId": "12345"}, email="user@company.com" )
from tools.get_submissions import get_app_submissions, Filters, QueryGroup, Query, Condition
filters = Filters(queries=[ QueryGroup(queries=[ Query( conditions=[ Condition( operator="EQ", filterKeyType="STANDARD", key="status", value="active" ) ], operator="AND" ) ]) ])
result = get_app_submissions( app_id="APP123", requesting_user_email_address="user@company.com", page_size=10, filters=filters )
singleLineText: Single line text inputmultiLineText: Multi-line text inputrichTextEditor: Rich text editor with formattingsingleSelector: Single choice selectionmultiSelector: Multiple choice selectiondropDown: Dropdown selectiondateSelector: Date selectiontimeSelector: Time selectiondateTime: Combined date and time selectionfile: File upload with configurable typescamera: Direct camera capturesignature: Digital signature capturecalculationsAndLogic: Formula-based calculationsgpsLocation: Location trackingcodeScanner: Barcode/QR code scanningnfcReader: NFC tag readingliveTracking: Real-time location trackingaddress: Address input with validationnone: No validationnumber: Numeric validationemail: Email format validationurl: URL format validationcustom: Custom validation rulesblock_width_percentage_desktop: Width on desktop (25, 50, 75, 100)block_width_percentage_mobile: Width on mobile (50, 100)number_of_cols: Number of columns for selector fieldsrequired: Whether field is mandatoryis_editable: Whether field can be editedhidden: Whether field is hiddenretain_values: Whether to retain values when hiddendisplay_condition: Condition for field visibilityeditability_condition: Condition for field editabilityallowed_file_types: List of allowed file typesmax_file_allowed: Maximum files allowed (1-10)image_quality: Image quality (low, medium, high)file_name_prefix: Prefix for uploaded filesThe server implements comprehensive error handling for:
All errors are logged with appropriate context for debugging.
For support, please:
This project is licensed under the MIT License - see the LICENSE file for details.
The MCP server integrates with Clappia's public API to provide the following capabilities: