mem0-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mem0-mcpremember that my favorite color is blue"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mem0-mcp
A small MCP server that wraps a self-hosted mem0 REST API
(see ../server-compose-files/ai-containers) as tools for Claude Desktop /
Claude Code. Mem0's own official MCP integrations (mcp.mem0.ai, the archived
mem0-mcp-server package) only target Mem0's cloud API — different auth
scheme (Authorization: Token ... vs. this server's X-API-Key) and
different routes — so they don't work against a self-hosted instance. This
wraps the self-hosted REST API directly instead.
Tools
Tool | mem0 endpoint |
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Bulk operations (delete_all_memories, /reset) are intentionally not
exposed — keeps the blast radius of an LLM-driven tool call small. Use curl
directly against the API for those.
Related MCP server: mcp-server-claude
Setup
Requires an API key from the mem0 dashboard (/setup on first run, or the
API Keys page after) and the URL your machine can reach the mem0 API at.
Add to Claude Desktop's config
(~/Library/Application Support/Claude/claude_desktop_config.json on macOS).
Two ways to run it, depending on whether you've cloned the repo:
Without cloning, straight from GitHub — same uvx --from git+... pattern
other MCP servers use to run from a repo without publishing to PyPI first:
uvx --from git+https://github.com/andresmorales07/mem0-mcp mem0-mcp{
"mcpServers": {
"mem0": {
"command": "uvx",
"args": ["--from", "git+https://github.com/andresmorales07/mem0-mcp", "mem0-mcp"],
"env": {
"MEM0_API_URL": "http://your-mem0-host:8888",
"MEM0_API_KEY": "m0sk_...",
"MEM0_DEFAULT_USER_ID": "your-user-id",
"MEM0_DEFAULT_AGENT_ID": "claude-desktop"
}
}
}
}Prefer to pin to a released version instead of tracking main? Append a ref,
e.g. git+https://github.com/andresmorales07/mem0-mcp@v0.1.0.
From a local clone:
{
"mcpServers": {
"mem0": {
"command": "uv",
"args": ["run", "--directory", "/path/to/mem0-mcp", "mem0-mcp"],
"env": {
"MEM0_API_URL": "http://your-mem0-host:8888",
"MEM0_API_KEY": "m0sk_...",
"MEM0_DEFAULT_USER_ID": "your-user-id",
"MEM0_DEFAULT_AGENT_ID": "claude-desktop"
}
}
}
}Use the full path to uv/uvx (e.g. which uv) if Claude Desktop can't find
them on its own PATH.
Both default env vars are optional, and they behave differently:
MEM0_DEFAULT_USER_IDis a last-resort fallback — only used when a tool call supplies nouser_id,agent_id, orrun_idat all. Applies to both reads and writes.MEM0_DEFAULT_AGENT_IDis merged in only onadd_memory(unless that call passes its ownagent_id), tagging every memory this server writes with which client created it — useful if you ever point another tool (n8n, a different agent) at the same mem0 instance and want to tell them apart later.It's deliberately not applied to
search_memories/list_memories. MCP tool calls can't distinguish "no agent_id given" from "search across all agents," so auto-tagging reads would silently and permanently scope every query to just this one agent — making it impossible to ever ask "show me everything anyone has learned about me" again. Reads default to whateveruser_id/agent_id/run_idthe model explicitly passes (plus theMEM0_DEFAULT_USER_IDfallback above); passagent_idexplicitly on a read if you want to narrow it to one agent's memories.
Restart Claude Desktop after editing the config. Claude will prompt for permission the first time it calls one of these tools.
Manual test
MEM0_API_URL=http://your-mem0-host:8888 MEM0_API_KEY=m0sk_... uv run python -c "
from mem0_mcp.server import list_memories
print(list_memories(user_id='alice'))
"This server cannot be installed
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