{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.n24q02m/mnemo-mcp","description":"Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.","repository":{"url":"https://github.com/n24q02m/mnemo-mcp.git","source":"github"},"version":"2.10.1","packages":[{"registryType":"pypi","identifier":"mnemo-mcp","version":"2.10.1","runtimeHint":"uvx","transport":{"type":"stdio"},"environmentVariables":[{"description":"Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local.","isSecret":true,"name":"API_KEYS"}]}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-09-02T13:00:19.325202Z","publishedAt":"2026-09-02T13:00:19.325202Z","updatedAt":"2026-09-02T13:00:19.325202Z","isLatest":true}}}