Perenna MCP Server

Perenna is an MCP integration. A lightweight, Git-backed permanent memory for AI agents.

Packages and local setup

The published pypi package is perenna, version 0.4.1. Its declared MCP transport is stdio.

The package declares PERENNA_GIT_REMOTE: Git remote name used for optional synchronization (for example, origin); leave unset for local-only operation; VEXOR_API_KEY: Embedding provider API key (optional; overrides a stored key; providers can also be configured via vexor init); VEXOR_REMOTE_RERANK_API_KEY: Remote reranker API key (optional; overrides a stored key; only needed when rerank is set to remote); VEXOR_CONFIG_JSON: Non-secret Vexor config as a JSON object, e.g. {"provider": "gemini", "rerank": "bm25"} (optional; merged over ~/.vexor/config.json; credential fields are rejected, use the dedicated variables).

This package has launch arguments in its registry record. Use the maintainer’s configuration for those arguments rather than launching it with only the package name.

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 0.4.1 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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