{"id":"youtubeinsights-mcp-server","name":"youtubeinsights-mcp-server","homepage":"https://pypi.org/project/youtubeinsights-mcp-server/","repo_url":null,"category":"ai-ml","subcategories":[],"tags":["ai-ml","mcp","youtube","analytics","reporting","developer-tools"],"what_it_does":"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.","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"],"best_when":null,"avoid_when":null,"alternatives":["Use YouTube Analytics API directly","Use third-party YouTube analytics/reporting tools with documented APIs","Build an MCP wrapper around the official YouTube APIs with your own auth and auditing"],"af_score":34.8,"security_score":46.2,"reliability_score":7.5,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:37:23.294698+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No authentication details were provided in the prompt content, so auth method and scope granularity cannot be verified."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing information was provided."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":34.8,"security_score":46.2,"reliability_score":7.5,"mcp_server_quality":50.0,"documentation_accuracy":30.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":40.0,"rate_limit_clarity":20.0,"tls_enforcement":60.0,"auth_strength":35.0,"scope_granularity":40.0,"dependency_hygiene":50.0,"secret_handling":50.0,"security_notes":"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.","uptime_documented":0.0,"version_stability":0.0,"breaking_changes_history":0.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_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"]}}