MCP External Memory

An MCP server that gives LLMs persistent, searchable semantic memory

Quick Install

Automated & IDE Setup

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Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

mcp-external-memory

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

Install

Terminal

pip install mcp-external-memory

Usage

server.ts

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

bash

mcp-external-memory --help

API

Tools

Tool	Description
`memory_store`	Persist text + optional namespace/tags/metadata
`memory_search`	Semantic search (cosine similarity) over all memories
`memory_get`	Retrieve a single memory by ID
`memory_delete`	Delete a memory by ID
`memory_list`	List memories with optional namespace/tag filter + pagination
`memory_stats`	Count of memories, namespaces, DB path
`memory_update`	Update 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

bash

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

Read the full README →View source on GitHub →

Related MCP Servers

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Frequently Asked Questions about MCP External Memory

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-external-memory": { "command": "npx", "args": ["-y", "mcp-external-memory"] } }

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Technical Specs & Signals

CategoryKnowledge & Memory

35Quality signal: Fair · 35/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools15/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🧠 Knowledge & Memory →Best MCP servers for Memory & Knowledge →Alternatives to MCP External Memory →Install in Claude Desktop Install in Cursor Install in VS Code

Documentation Overview

mcp-external-memory

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

Install

Terminal

pip install mcp-external-memory

Usage

server.ts

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

bash

mcp-external-memory --help

API

Tools

Tool	Description
`memory_store`	Persist text + optional namespace/tags/metadata
`memory_search`	Semantic search (cosine similarity) over all memories
`memory_get`	Retrieve a single memory by ID
`memory_delete`	Delete a memory by ID
`memory_list`	List memories with optional namespace/tag filter + pagination
`memory_stats`	Count of memories, namespaces, DB path
`memory_update`	Update 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

bash

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

Frequently Asked Questions about MCP External Memory

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-external-memory": { "command": "npx", "args": ["-y", "mcp-external-memory"] } }