RE-call MCP Memory Server runs on your own machine — the client starts it, so there is no endpoint to ping. 1 078 installs a week from pypi. Last commit 31 Aug 2026.
Agent memory on your own Postgres that flags superseded facts and abstains instead of guessing.
What the code does
We read the source, 12 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
setup.py: выполняет код при установке пакета
done = subprocess.run(
root = next((path for path in staging.iterdir() if path.is_dir()), staging)
source = env if env is not None else dict(os.environ)
…25932d9bb\",\n \"text\": \"**How to apply:**\\n- Step 0 (always): `sudo passwd -S <user>` (or `sudo grep <user>: /etc/shadow | cut -d: -f2`) \\u2014 if it shows `L` / `*` / empty hash, no password is set.\\n- If no password: ask the operator before deploy, *\\\"do you want…
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
This code can reach further than it looks
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Connect this server
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add re-call -- uvx recall-rag{
"mcpServers": {
"re-call": {
"args": [
"recall-rag"
],
"command": "uvx"
}
}
}[mcp_servers.re-call]
command = "uvx"
args = ["recall-rag"]{
"mcpServers": {
"re-call": {
"args": [
"recall-rag"
],
"command": "uvx"
}
}
}{
"mcpServers": {
"re-call": {
"args": [
"recall-rag"
],
"command": "uvx"
}
}
}Alternatives to RE-call MCP Memory Server
same job, measured the same waySelf-hosted, source-traceable memory layer and MCP server for AI agents, on your own Postgres.
Versioned agent memory in your own Postgres: portable context, permissioned, audit trail.
MCP server giving AI agents persistent SQLite memory that proves which lessons hold.
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Xata MCP server lets AI agents interact with your Xata projects, and Postgres database branches.
Fail-closed, read-only PostgreSQL and MongoDB access for AI agents over MCP.
SQLite-backed MCP server for persistent memory, full-text retrieval, and graph traversal.
CloudQuery MCP server for asset inventory data. Supports CLI, PostgreSQL, and Platform modes.
RE-call MCP Memory Server — questions
Answers built from our own checks of this server.