Engrava 0.5.0: a first-class MCP server

Engrava 0.5.0 pulls the MCP server out of the library.

Install engrava

now and you get the memory library and nothing else. The server ships separately, as engrava-mcp

. The two were never really the same kind of thing — one is a dependency you import, the other is a process your MCP client spawns — and keeping them in one package meant everyone who installed the library also pulled in the server's dependencies, whether or not they ran a server. Splitting them gives each a clean install surface.

If you build directly on the Python API, nothing about your install changes:

pip install engrava

If you want Engrava as a memory server for an MCP client, reach for the standalone package instead:

uvx engrava-mcp
pip install engrava-mcp

engrava-mcp

is a native stdio Model Context Protocol server that sits in front of an Engrava store. It exposes read tools, optional write tools, engrava://

resources, and guided prompts to any MCP client that speaks stdio.

It's also listed in the official MCP Registry as ai.sovantica/engrava

— PyPI package engrava-mcp

, stdio transport — so a client that reads the registry can find it without you wiring anything by hand.

One detail that looks like a mismatch and isn't: the library is engrava

0.5.0, but the server you install is engrava-mcp

0.5.1. The two version independently. engrava-mcp

follows Engrava's minor line rather than its patch releases — every 0.5.x build targets engrava>=0.5,<0.6

— so it moves on its own patch schedule underneath. Today that lands at 0.5.1.

In 0.4 the server rode along inside engrava

as the engrava[mcp]

extra. In 0.5 it graduates to a package of its own:

This only breaks you if you were running Engrava as an MCP server. A plain pip install engrava

library upgrade is untouched, and the server still reads the same engrava.yaml

or database path it always did — what moves is the install command and the launch command your client uses.

The packaging is the visible change, but the library moved too, mostly around retrieval and the audit path:

store.verify_journal()

, or from a shell with engrava --db engrava.db verify

.session_id

and actor_id

.There's also a set of opt-in lifecycle features you can switch on and evaluate against your own workload: consolidation activation, deterministic memory hygiene, and caller-side whole-turn assembly. They ship in 0.5.0, off by default; whether they earn a place in your setup is yours to judge.

engrava

is the library, engrava-mcp

is the server — install whichever you need:

pip install engrava
uvx engrava-mcp

Code and server docs: