{"id":"adrianco-megpt","name":"meGPT","af_score":56.5,"security_score":28.0,"reliability_score":31.2,"what_it_does":"meGPT is a Python repository for ingesting an author’s public content (books, blog posts, social archives, YouTube, podcasts, etc.), preprocessing it (downloading/extracting/transcribing/summarizing/deduplicating), and exposing the resulting knowledge base via a Model Context Protocol (MCP) server for AI apps to search and retrieve content in an “author voice”/persona style.","best_when":"You have permission/licensed rights to ingest the content, can run the Python pipeline locally, and want an MCP-backed searchable corpus for a specific author/persona.","avoid_when":"You need a hosted service with guaranteed uptime/SLA, strict enterprise security/compliance guarantees, or you cannot review the code and dependency stack before deployment.","last_evaluated":"2026-03-30T13:34:24.094137+00:00","has_mcp":true,"has_api":false,"auth_methods":["Local execution (no explicit API auth described for MCP server in README)."],"has_free_tier":false,"known_gotchas":["This is an ingestion+MCP server project, not a turnkey hosted API; agents may need to understand local file layout and when content is (re)processed.","YouTube processing is subject to bot detection; the README suggests operational mitigations (VPN/mobile/off-peak) but does not specify deterministic retry/idempotency behavior for all failure modes.","No explicit MCP tool schema/contracts or authentication details are provided in the README excerpt, so agents may need to inspect the MCP server implementation for exact tool names/inputs."],"error_quality":0.0}