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MCP External Memory

by daedalusversion 0.1.2i★ –iRuns on your computer
Registry nameio.github.daedalus/mcp-external-memory

Install

Overview

Description from the maker (original English)

An MCP server that gives LLMs persistent, searchable semantic memory

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "external-memory": {
      "command": "uvx",
      "args": [
        "mcp-external-memory"
      ]
    }
  }
}

Run this in your terminal

claude mcp add external-memory -- uvx mcp-external-memory

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "external-memory": {
      "command": "uvx",
      "args": [
        "mcp-external-memory"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "external-memory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-external-memory"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account daedalus, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7241 servers in this category
  • Published to the registry more recently than 9% of the other 7241 servers in this category
  • Basic checks equal to or better than 100% of the other 7241 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP External Memory safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

mcp-external-memory

An MCP server that gives LLMs persistent, searchable semantic memory.

Install

pip install mcp-external-memory

Usage

from mcp_external_memory import memory_store, memory_search

Store a memory

result = memory_store(content="Alice prefers dark mode", namespace="users", tags=["alice", "ui"])

Search memories

results = memory_search(query="what does Alice prefer?", namespace="users")

CLI

mcp-external-memory --help

API

Tools
ToolDescription
memory_storePersist text + optional namespace/tags/metadata
memory_searchSemantic search (cosine similarity) over all memories
memory_getRetrieve a single memory by ID
memory_deleteDelete a memory by ID
memory_listList memories with optional namespace/tag filter + pagination
memory_statsCount of memories, namespaces, DB path
memory_updateUpdate an existing memory
Embedding Backends

The server supports multiple embedding backends:

  • TF-IDF (default): Pure Python, no external dependencies
  • OpenAI: Uses text-embedding-3-small model
  • Ollama: Local embeddings with Ollama

Set via MEMORY_EMBED_BACKEND environment variable.

Development

git clone https://github.com/daedalus/mcp-external-memory.git

cd mcp-external-memory pip install -e ".[test]"

run tests

pytest

format

ruff format src/ tests/

lint

ruff check src/ tests/

type check

mypy src/

MCP Registry

mcp-name: io.github.daedalus/mcp-external-memory

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