mcpbeat Sign in

Recall MCP Server

by recallworks Your server? Claim it
local only

Recall runs on your own machine — the client starts it, so there is no endpoint to ping. 110 installs a week from pypi. Last commit 11 May 2026.

Open-source MCP memory server. Persistent, searchable, tiered memory across sessions.

Installs per day peak 55 · avg 16 · -4% w/w
a month agotoday
110
Installs / week
pypi · ai-recallworks
8
Stars
0 open issues
11 May 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 4 d ago · rules 995398eba69f

Capabilities

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.

        img.save(os.path.join(OUT_DIR, f"logo-{sz}.png"), "PNG", optimize=True)
Page executes code built at runtime site/_mockup.html:111, site/index-test.html:207
        textSpan.innerHTML = text;

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.

Three servers free · no card

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 recall -- uvx ai-recallworks
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "recall": {
      "command": "uvx",
      "args": [
        "ai-recallworks"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.recall]
command = "uvx"
args = ["ai-recallworks"]
.cursor/mcp.json
{
  "mcpServers": {
    "recall": {
      "command": "uvx",
      "args": [
        "ai-recallworks"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "recall": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "ai-recallworks"
      ]
    }
  }
}

Alternatives to Recall

same job, measured the same way
Collective Memory
by hustada

MCP server for persistent, semantic memory across AI sessions

35 installs/wk local only
Memstack
by isiomac

MCP server for persistent, searchable memory for AI agents.

119 installs/wk local only
MCP Memory
by infoinlet-marketplace

Persistent searchable memory for AI agents — save/get/search across sessions, tags.

52 installs/wk local only
MCP Memento
by annibale-x

An MCP server that provides persistent memory and context management across sessions

104 installs/wk local only
MCP External Memory
by daedalus

An MCP server that gives LLMs persistent, searchable semantic memory

90 installs/wk local only
memgit
by memgit

Git for AI memory — version-controlled, searchable context that persists across sessions

152 installs/wk local only
Goldhold
by jerrysrodz

Persistent memory for AI agents. Search, store, and recall across sessions.

93 installs/wk answering
Engram
by getengram

Persistent, verbatim, searchable memory for AI assistants — one memory across every MCP client.

answering

Recall — questions

Answers built from our own checks of this server.

Why is there no uptime for Recall?
Recall 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 pypi package ai-recallworks was installed 110 times last week.
How do I connect Recall?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls ai-recallworks straight from pypi; nothing to host, nothing to sign up for.
How many people use Recall?
The pypi package ai-recallworks was installed 110 times in the last week. Week over week that is -4%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Recall open source?
Yes — it is published under the MIT licence, written in Python and 8 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.