Mem0
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Add, search, update and delete long-term memories stored in your Mem0 account from any MCP-compatible AI client.
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mcp.tc/i/mem0listing.about
Connects an AI client to the Mem0 Platform so the agent can save, look up, update and delete long-term memories. Tools cover adding memories from text or conversation history, semantic search with filters, listing with pagination, and deleting single memories or whole entities (users, agents, apps, runs).
The server is hosted by Mem0 and reached over streamable HTTP at https://mcp.mem0.ai/mcp. A Mem0 Platform account is required. Clients sign in through an OAuth browser flow, or you can send a Mem0 API key as a bearer token for headless setups. Memories are stored in your Mem0 account, not on your machine.
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- Save text or conversation history as memories
- Run semantic search across stored memories with filters
- List memories with structured filters and pagination
- Retrieve, update or delete a single memory by ID
- Bulk delete memories or delete a user, agent, app or run entity
- List entities and memory operation events
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Remember that I prefer TypeScript and pnpm for new projects.
Search my memories for what I decided about the database schema.
Update the memory about my deployment region to eu-west-1.
Delete all memories stored for the user test-user.
listing.setup.h
listing.setup.oauth
Claude Code
- Run this in a terminal, in your project folder:
claude mcp add --transport http mem0 https://mcp.mem0.ai/mcp/- Start Claude Code, type
/mcp, pick mem0 and choose Authenticate. A browser window opens for the Mem0 sign-in.
Add --scope user to make it available in every project, not just this one.
Claude Desktop
- Open Settings → Connectors and click Add custom connector.
- Name it Mem0 and paste this URL:
https://mcp.mem0.ai/mcp/- Click Add, then Connect, and sign in when Mem0 asks.
Claude Desktop's JSON config file only starts local servers. Remote servers go through Connectors, and connectors you add on claude.ai show up here too.
claude.ai
- Open the connector form on claude.ai. This button fills in the name and URL for you:
- Check that the URL reads
https://mcp.mem0.ai/mcp/and click Add. - Click Connect and sign in when Mem0 asks.
Free plans allow one custom connector. On Team and Enterprise plans an owner adds it under Organization settings → Connectors.
ChatGPT
- On chatgpt.com, open Settings → Security and login and turn on Developer mode.
- Go to
chatgpt.com/pluginsand click + to create an app for a remote MCP server. - Paste
https://mcp.mem0.ai/mcp/as the server URL and choose OAuth. ChatGPT sends you to Mem0 to sign in.
Developer mode is available on the web for Plus, Pro, Business, Enterprise and Education accounts.
Cursor
Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):
{
"mcpServers": {
"mem0": {
"url": "https://mcp.mem0.ai/mcp/"
}
}
}Cursor shows Needs login next to the server. Click it to sign in.
VS Code
Install in VS Code a11y.new_tab
Or from a terminal:
code --add-mcp '{"name":"mem0","type":"http","url":"https://mcp.mem0.ai/mcp/"}'Or commit it to the repo in .vscode/mcp.json:
{
"servers": {
"mem0": {
"type": "http",
"url": "https://mcp.mem0.ai/mcp/"
}
}
}VS Code asks you to sign in the first time the server starts.
Devin Desktop
- Add it to
~/.config/devin/mcp_config.json(macOS and Linux) or%APPDATA%\devin\mcp_config.json(Windows):
{
"mcpServers": {
"mem0": {
"serverUrl": "https://mcp.mem0.ai/mcp/"
}
}
}- Refresh the MCP server list in Cascade and sign in when asked.
Devin Desktop is the new name for Windsurf. It reads serverUrl (or url) for remote servers.
Codex
codex mcp add mem0 --url https://mcp.mem0.ai/mcp/
codex mcp login mem0Or edit ~/.codex/config.toml directly:
[mcp_servers.mem0]
url = "https://mcp.mem0.ai/mcp/"Gemini CLI
gemini mcp add --transport http mem0 https://mcp.mem0.ai/mcp/Then, inside Gemini CLI, run /mcp auth mem0 to sign in.
This adds it to the current project. Add -s user to use it everywhere.
Any client
Most clients accept this shape. Some name the URL field differently: serverUrl in Devin Desktop, httpUrl in Gemini CLI's settings file.
{
"mcpServers": {
"mem0": {
"type": "http",
"url": "https://mcp.mem0.ai/mcp/"
}
}
}Zed puts servers under context_servers in its settings. Cline needs "type": "streamableHttp", or it assumes SSE.
Client only starts local servers? Bridge it with npx -y mcp-remote https://mcp.mem0.ai/mcp/.
listing.faq
Can I paste mcp.tc/i/mem0 into my MCP client?
No. mcp.tc links are pages, not server addresses. Connect with https://mcp.mem0.ai/mcp/, so your client talks to Mem0 directly. The sign-in token only works there anyway. The quick link is for sharing: it opens this page, with setup steps for every client.
Does Mem0 need an API key or a sign-in?
Yes, you need a Mem0 account. The first time your client connects, it opens Mem0's sign-in page. The token goes straight to the server's own URL, never through mcp.tc.
Is Mem0 a remote or a local server?
Remote. Mem0 hosts it at https://mcp.mem0.ai/mcp/, and it speaks Streamable HTTP. There's nothing to install.
What can Mem0 do?
You can save text or conversation history as memories, run semantic search across stored memories with filters and list memories with structured filters and pagination.
Which clients can use it?
Any client that supports remote MCP servers: Claude Code, Claude Desktop, claude.ai, ChatGPT in developer mode, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. The setup steps cover each one.
Who wrote this page?
mcp.tc's robot read Mem0's own metadata (its MCP handshake, tool list and public pages), and an AI model drafted the text from it. A person reviews anything the checks can't confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.
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