Remembra Relay: MCP server, setup and security

What Remembra Relay does

According to its repository: “Self-hosted persistent agent memory with entity resolution, PII detection, AES-256-GCM encryption at rest and hybrid search.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Remembra Relay is listed under Memory and knowledge, a category of 250 servers in the directory, where it ranks #164 by stars.

Topics declared by the repository: ai-memory, developer-tools, python, self-hosted, ai-agents, agent-handoff.

Installing and connecting Remembra Relay

Distribution modes declared in the official MCP registry:

• PyPI package (Python, started with uvx or pip)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python, TypeScript. Listed systems: macOS, Windows, Linux.

The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

Points found for Remembra Relay:

• Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 1, 2026, the remembra-ai/remembra repository has 16 stars and 4 forks, with 1 open issues. It has more stars than 35% of the servers in the directory. It received changes this month. Version published in the registry: 0.16.2 (October 10, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.