
Vidlens Mcp
io.github.rajanrengasamyPublished by GitHub account rajanrengasamyv1.2.6Updated Oct 24, 2026
YouTube intelligence layer for AI agents. 41 tools, 10 modules, zero config.
Overview
Vidlens MCP is a local stdio server that gives AI assistants a YouTube intelligence layer with 41 tools across 10 modules.
- What you can do
- The manifest lists no individual tools, so capabilities come from the registry description only.
- It presents itself as a YouTube intelligence layer for AI agents, exposing 41 tools grouped into 10 modules.
- It is advertised as zero config, so it can be used without setting up credentials first.
- Optional keys enable AI-generated visual descriptions and official YouTube Data API access.
- When to use it
- Worth considering when an assistant needs to work with YouTube content — channels, videos or related data — and you want that capability available locally without a hosted service. The lack of a tool list means you should check the package's own documentation before relying on specific features.
- Requirements
- Runs as a local process over stdio, installed from the npm package vidlens-mcp, so Node.js is needed. Two optional secrets can be supplied as environment variables: GEMINI_API_KEY for AI-powered visual descriptions and YOUTUBE_API_KEY for the YouTube Data API v3; without the latter it falls back to scraping. Desktop only; no web executable.
Installation
In SourceWeft
- Open Vidlens Mcp in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
This repository has no README.
Tools
0Version history
1- v1.2.6LatestSep 16, 2026
Score
25% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
- License10 pts
Declare a license in the repository or the registry entry.