MCP Server for Memphora - Add persistent memory to Claude, Cursor, and other AI assistants
接入配置
选择客户端，复制配置，再按项目文档补齐环境变量。
claude mcp add memphora --env MEMPHORA_API_KEY='<MEMPHORA_API_KEY>' -- uvx memphora-mcp~/.codex/config.toml
[mcp_servers.memphora]
command = "uvx"
args = ["memphora-mcp"]
env = { MEMPHORA_API_KEY = "<MEMPHORA_API_KEY>" }
# codex mcp add memphora --env MEMPHORA_API_KEY='<MEMPHORA_API_KEY>' -- uvx memphora-mcp~/.cursor/mcp.json
{
"mcpServers": {
"memphora": {
"command": "uvx",
"args": [
"memphora-mcp"
],
"env": {
"MEMPHORA_API_KEY": "<MEMPHORA_API_KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"memphora": {
"type": "stdio",
"command": "uvx",
"args": [
"memphora-mcp"
],
"env": {
"MEMPHORA_API_KEY": "<MEMPHORA_API_KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"memphora": {
"command": "uvx",
"args": [
"memphora-mcp"
],
"env": {
"MEMPHORA_API_KEY": "<MEMPHORA_API_KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"memphora": {
"command": "uvx",
"args": [
"memphora-mcp"
],
"env": {
"MEMPHORA_API_KEY": "<MEMPHORA_API_KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"memphora": {
"command": "uvx",
"args": [
"memphora-mcp"
],
"env": {
"MEMPHORA_API_KEY": "<MEMPHORA_API_KEY>"
}
}
}
}需要的环境变量
MEMPHORA_API_KEY
把占位值换成你自己的密钥；不要把密钥提交到代码仓库。