VidLens

v1.2.9Search & Data Extractionstable

Enables AI agents to search, analyze, and extract insights from YouTube videos including transcripts, visual frames, and benchmarks without requiring API keys. Supports semantic search across playlists, sentiment analysis, and visual content indexing

vidlensmcpai-integration
Share:
0
Stars
0
Downloads
0
Weekly
0/5

What is VidLens?

VidLens is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables ai agents to search, analyze, and extract insights from youtube videos including transcripts, visual frames, and benchmarks without requiring api keys. supports semantic search across playlist...

Enables AI agents to search, analyze, and extract insights from YouTube videos including transcripts, visual frames, and benchmarks without requiring API keys. Supports semantic search across playlists, sentiment analysis, and visual content indexing

This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables AI agents to search, analyze, and extract insights f

Use Cases

Search and analyze YouTube videos without API keys
Sentiment analysis and visual content indexing
thatsrajan

Maintainer

LicenseMIT License
Languagetypescript
Versionv1.2.9
UpdatedApr 8, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y vidlens-mcp

Manual Installation

npx -y vidlens-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about VidLens

What is VidLens?

VidLens is a Model Context Protocol (MCP) server that enables ai agents to search, analyze, and extract insights from youtube videos including transcripts, visual frames, and benchmarks without requiring api keys. supports semantic search across playlists, sentiment analysis, and visual content indexing It connects AI assistants to external tools and data sources through a standardized interface.

How do I install VidLens?

Install via npm with the command: npx -y vidlens-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with VidLens?

VidLens works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is VidLens free to use?

Yes, VidLens is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Search & Data Extraction MCP Servers

Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "vidlens": { "command": "npx", "args": ["-y", "vidlens-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use VidLens?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

33,000+ ServersFree & Open SourceStep-by-Step Guides