{"id":"allaboutai-yt-mcp-servers","name":"mcp-servers","af_score":34.2,"security_score":42.2,"reliability_score":21.2,"what_it_does":"Provides MCP (Model Context Protocol) server configurations intended to integrate an agent host with OpenAI (o1 preview) and a Flux image model via separate MCP servers, configured through environment variables and a simple example client config.","best_when":"You need a lightweight MCP integration setup and are comfortable validating server behavior and limits in your own environment.","avoid_when":"You require comprehensive, implementation-level documentation (OpenAPI/contract specs, error codes, retry semantics) or you cannot safely manage third-party API keys.","last_evaluated":"2026-03-30T13:50:25.887136+00:00","has_mcp":true,"has_api":false,"auth_methods":["Environment variable API keys for upstream providers (OPENAI_API_KEY, REPLICATE_API_TOKEN / FLUX_API_KEY per README wording)"],"has_free_tier":false,"known_gotchas":["README provides only high-level configuration snippets; MCP tool names, parameters, and exact schemas are not included in the provided content.","Potential configuration mismatch: README shows REPLICATE_API_TOKEN in the Flux section but also uses FLUX_API_KEY in the Setup section, which may confuse integration.","Rate limits and backoff/retry guidance for upstream providers are not documented for the MCP layer."],"error_quality":0.0}