mcpbeat

In Memoria MCP Server

me.pi22by7/in-memoria
local only

In Memoria runs on your own machine — the client starts it, so there is no endpoint to ping. 99 installs a week from npm.

Persistent codebase intelligence that gives AI assistants memory across sessions

Installs per day peak 36 · avg 12 · +8% w/w
a month agotoday
99
Installs / week
npm · in-memoria
Stars
on GitHub
Last commit
0 releases in 90 days
License
language unknown

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.

run in your terminal
claude mcp add in-memoria -- npx -y in-memoria
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "in-memoria": {
      "args": [
        "-y",
        "in-memoria"
      ],
      "command": "npx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.in-memoria]
command = "npx"
args = ["-y", "in-memoria"]
.cursor/mcp.json
{
  "mcpServers": {
    "in-memoria": {
      "args": [
        "-y",
        "in-memoria"
      ],
      "command": "npx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "in-memoria": {
      "args": [
        "-y",
        "in-memoria"
      ],
      "command": "npx"
    }
  }
}

In Memoria — questions

Answers built from our own checks of this server.

Why is there no uptime for In Memoria?
In Memoria runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package in-memoria was installed 99 times last week.
How do I connect In Memoria?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls in-memoria straight from npm; nothing to host, nothing to sign up for.
How many people use In Memoria?
The npm package in-memoria was installed 99 times in the last week. Week over week that is +8%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.