How do I install io.github.daedalus/mcp-external-memory?

Clone io.github.daedalus/mcp-external-memory from https://github.com/daedalus/mcp-external-memory and configure it as an MCP server in your client (Claude Desktop, Cursor, or VS Code).

Is io.github.daedalus/mcp-external-memory open source?

Yes, io.github.daedalus/mcp-external-memory is open source under the MIT license. Source code is available at https://github.com/daedalus/mcp-external-memory.

What category does io.github.daedalus/mcp-external-memory belong to?

io.github.daedalus/mcp-external-memory is listed under Developer Tools MCP servers on MCPFind.

io.github.daedalus/mcp-external-memory — MCP Server for Developer Tools

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

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

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

Set up in your AI client

AI clientOperating system

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json

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

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Compatible MCP Clients

io.github.daedalus/mcp-external-memory works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.

Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.

VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.

Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.

Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

io.github.daedalus/mcp-external-memory