Video Fetch MCP
V

Video Fetch MCP

A multi-platform video download server based on the MCP protocol, supporting over 1000 video platforms, providing dual-mode operation and real-time progress tracking
2 points
10.6K

What is Video Fetch MCP?

Video Fetch MCP is a powerful video download service that supports downloading video content from over 1000 platforms such as YouTube, Bilibili, and Douyin. It can run as an MCP protocol server or as a traditional REST API service.

How to use Video Fetch MCP?

You can start the service with simple commands and then interact with the server using the MCP protocol or REST API. The service supports functions such as getting video information, downloading videos, and querying task status.

Use cases

Suitable for scenarios that require batch downloading of video content, such as content analysis, offline viewing, and video archiving. It is particularly suitable for developers to integrate into their own applications.

Main features

Multi-platform support
Based on yt-dlp, supports over 1000 platforms such as YouTube, Bilibili, Douyin, and Twitter
Dual-mode operation
Supports both MCP protocol mode and REST API mode to meet different integration needs
Real-time progress tracking
Provides real-time information such as download progress, speed, and remaining time
Multi-format support
Supports multiple formats such as video download, audio extraction, and subtitle download
Advantages
Supports over 1000 video platforms, with wide coverage
Provides real-time progress feedback, good user experience
Dual-mode operation, flexible integration
Type-safe, developed based on TypeScript
Limitations
Requires a Python environment to support yt-dlp
Some platforms may have download restrictions
Sufficient storage space is required for large file downloads

How to use

Install the service
Install globally via npm or run directly using npx
Start the service
Choose to start the service in MCP mode or REST API mode
Integrate and use
Interact with the service through the MCP protocol or REST API in your application

Usage examples

Download a YouTube video
Download a video from YouTube and save it to a specified local directory
Extract audio from a Bilibili video
Extract audio from a Bilibili video

Frequently Asked Questions

Why does the 'Connection closed' error occur?
How to view the download progress?
Which video platforms are supported?

Related resources

npm package page
Official npm package release page
yt-dlp documentation
Documentation for the underlying video download tool
MCP protocol specification
Official documentation for the Model Context Protocol

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "video-fetch": {
      "command": "npx",
      "args": ["@pickstar-2002/video-fetch-mcp@latest"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
10.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.7K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.4K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.4K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.4K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
69.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
107.7K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase