Mem0 MCP Server
Click on "Deploy 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 MCP ServerRemember 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.
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Mem0 MCP Server Setup
This is a local MCP server for Mem0, allowing you to store and search memories directly from Cursor.
Prerequisites
Python 3.10+
A Mem0 API Key (Get one at https://app.mem0.ai/)
Related MCP server: Mem0 MCP Server
Installation
Install Dependencies:
python3 -m venv venv source venv/bin/activate pip install -r requirements.txtConfigure API Key: π Recommended: Set
MEM0_API_KEYdirectly in theenvsection ofmcp.json(no .env file needed, see Cursor config below).Or use .env file:
Copy
.env.exampleto.env:cp .env.example .envOpen
.envand replaceyour_mem0_api_key_herewith your actual Mem0 API Key.
Cursor Configuration (mcp.json)
Add the following entry to your Cursor mcp.json file (usually located at ~/.cursor/mcp.json or accessible via Cursor Settings > MCP):
{
"mcpServers": {
"mem0": {
"command": "/Users/alexnear/Documents/mem0MCP/venv/bin/python",
"args": [
"/Users/alexnear/Documents/mem0MCP/server.py"
],
"env": {
"MEM0_API_KEY": "your_api_key_here"
}
}
}
}Note:
π Preferred: Set
MEM0_API_KEYdirectly in theenvsection ofmcp.json- FastMCP passes it to the server process automatically.Alternative: Use
.envfile (loaded viapython-dotenv). Ensure server runs from the directory containing.env.Ensure the python command points to the python environment where you installed the requirements (e.g., if you used a venv, point to
venv/bin/python).
Tools Provided
add_memory: Stores messages/interactions.search_memories: Semantically searches stored memories (v2).
This server cannot be deployed
Maintenance
Related MCP Connectors
Persistent memory for Claude Code and Cursor. Stop re-explaining your project every session.
Mem0-compatible persistent memory for AI agents: write facts once, recall them semantically.
Shared memory for AI coding agents. Save once, reuse from Cursor, Claude Code, Codex.
Securely search, create, and organize your Mem notes and collections from AI assistants.
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