smithery verified Safe content atomic container

youtube-transcript-mcp-server

Use this tool when you need to generate transcripts from YouTube videos, solving problems of accessibility and content analysis by taking video URLs as input and producing text transcripts as output, ideal for use cases such as video summarization, translation, and closed captioning. It streamlines the process of extracting spoken content from videos, making it easier to search, analyze, and understand video data. This server-based solution integrates with git for version control and collaboration.

Cognium trust score

73%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: container
Category: social-media
Source: Smithery
Repository: github.com/BB1151-dev/youtube-transcript-mcp-server
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve youtube-transcript-mcp-server from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"