youtubeinsights-mcp-server
youtubeinsights-mcp-server is an MCP (Model Context Protocol) server intended to provide AI agents access to YouTube-related insights/data. It likely exposes MCP tools that let an agent query analytics/insights for YouTube channels/videos, but the provided prompt includes no README/repo contents to confirm specific endpoints, tool names, parameters, or authentication flow.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
No repo/manfiest/README security practices were provided. Scores reflect uncertainty: MCP servers that integrate with Google/YouTube APIs commonly require OAuth tokens; robust designs should enforce HTTPS, store secrets safely, and validate least-privilege scopes.
⚡ Reliability
Use Cases
- • Letting an agent retrieve YouTube analytics/insights for a channel or videos
- • Automating reporting (e.g., summaries of performance metrics) using LLMs
- • Building chat/assistant workflows around YouTube performance data
Not For
- • Directly ingesting/streaming raw video content or performing uploads (unless explicitly documented)
- • High-stakes compliance reporting without validating metric definitions and data provenance
- • Use where YouTube API quota/privacy controls are not acceptable
Interface
Authentication
No authentication details were provided in the prompt content, so auth method and scope granularity cannot be verified.
Pricing
No pricing information was provided.
Agent Metadata
Known Gotchas
- ⚠ YouTube APIs often have quota/rate-limit constraints; without explicit guidance, agents may trigger failures via repeated calls
- ⚠ Metric definitions and time-window parameters can lead to inconsistent results unless clearly documented
- ⚠ If auth tokens expire, agents may need a refresh flow that is not always implemented in MCP wrappers
Alternatives
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Scores are editorial opinions as of 2026-04-04.