Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"memphora": {
"env": {
"MEMPHORA_API_KEY": "your_api_key_here",
"MEMPHORA_USER_ID": "your_unique_user_id"
},
"args": [
"memphora-mcp"
],
"command": "uvx"
}
}
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This MCP server connects your AI assistant to Memphora, giving it the ability to:
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'memphora-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked memphora-mcp against OSV.dev.
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Add persistent memory to Claude, Cursor, Windsurf, and other AI assistants using the Model Context Protocol (MCP).
This MCP server connects your AI assistant to Memphora, giving it the ability to:
# Using pip
pip install memphora-mcp
# Or using uvx (recommended for Claude Desktop)
uvx memphora-mcp
Add to your Claude Desktop config file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"memphora": {
"command": "uvx",
"args": ["memphora-mcp"],
"env": {
"MEMPHORA_API_KEY": "your_api_key_here",
"MEMPHORA_USER_ID": "your_unique_user_id"
}
}
}
}
Close and reopen Claude Desktop. You should see the Memphora tools available!
Just tell Claude something about yourself:
You: "I work at Google as a software engineer"
Claude: [stores memory] "Got it! I'll remember that you work at Google as a software engineer."
You: "My favorite programming language is Python"
Claude: [stores memory] "Noted! I'll remember that Python is your favorite programming language."
Ask Claude about things you've told it before:
You: "Where do I work?"
Claude: [searches memories] "You work at Google as a software engineer."
You: "What programming languages do I like?"
Claude: [searches memories] "Your favorite programming language is Python."
Claude will automatically search your memories when relevant:
You: "Can you help me with some code?"
Claude: [searches memories for context]
"Sure! Since you prefer Python and work at Google, I'll write this in Python
following Google's style guide..."
| Tool | Description |
|---|---|
memphora_search | Search memories for relevant information |
memphora_store | Store new information for future recall |
memphora_extract_conversation | Extract memories from a conversation |
memphora_list_memories | List all stored memories |
memphora_delete | Delete a specific memory |
| Environment Variable | Description | Default |
|---|---|---|
MEMPHORA_API_KEY | Your Memphora API key | Required |
MEMPHORA_USER_ID | Unique identifier for your memories | mcp_default_user |
Add to your Cursor settings:
{
"mcp": {
"servers": {
"memphora": {
"command": "uvx",
"args": ["memphora-mcp"],
"env": {
"MEMPHORA_API_KEY": "your_api_key_here"
}
}
}
}
}
Add to your Windsurf MCP configuration:
{
"mcpServers": {
"memphora": {
"command
... [View full README on GitHub](https://github.com/Memphora/memphora-mcp#readme)