Mnemo MCP Server

Mnemo is an MCP integration. Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

Packages and local setup

The published pypi package is mnemo-mcp, version 2.20.1. Its declared MCP transport is streamable-http.

The package declares API_KEYS: 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..

Before connecting

Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.

Project and source

View the publisher’s registry entry · Project repository. This profile uses version 2.20.1 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.

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