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.

Evaluated Apr 04, 2026 (16d ago)
Homepage ↗ Ai Ml ai-ml mcp youtube analytics reporting developer-tools
⚙ Agent Friendliness
35
/ 100
Can an agent use this?
🔒 Security
46
/ 100
Is it safe for agents?
⚡ Reliability
8
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
50
Documentation
30
Error Messages
0
Auth Simplicity
40
Rate Limits
20

🔒 Security

TLS Enforcement
60
Auth Strength
35
Scope Granularity
40
Dep. Hygiene
50
Secret Handling
50

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

Uptime/SLA
0
Version Stability
0
Breaking Changes
0
Error Recovery
30
AF Security 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

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

OAuth: No Scopes: No

No authentication details were provided in the prompt content, so auth method and scope granularity cannot be verified.

Pricing

Free tier: No
Requires CC: No

No pricing information was provided.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

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

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Scores are editorial opinions as of 2026-04-04.

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