Shared project memory that keeps teammates and AI agents aligned across sessions.
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。
本地运行
claude mcp add memq-team-sync --env MEMQ_API_KEY='<MEMQ_API_KEY>' -- docker run -i --rm -e MEMQ_API_KEY ghcr.io/multinex-ai/memq-mcp-server:registry-2.8.1~/.codex/config.toml
[mcp_servers.memq-team-sync]
command = "docker"
args = ["run", "-i", "--rm", "-e", "MEMQ_API_KEY", "ghcr.io/multinex-ai/memq-mcp-server:registry-2.8.1"]
env = { MEMQ_API_KEY = "<MEMQ_API_KEY>" }
# codex mcp add memq-team-sync --env MEMQ_API_KEY='<MEMQ_API_KEY>' -- docker run -i --rm -e MEMQ_API_KEY ghcr.io/multinex-ai/memq-mcp-server:registry-2.8.1~/.cursor/mcp.json
{
"mcpServers": {
"memq-team-sync": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MEMQ_API_KEY",
"ghcr.io/multinex-ai/memq-mcp-server:registry-2.8.1"
],
"env": {
"MEMQ_API_KEY": "<MEMQ_API_KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"memq-team-sync": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MEMQ_API_KEY",
"ghcr.io/multinex-ai/memq-mcp-server:registry-2.8.1"
],
"env": {
"MEMQ_API_KEY": "<MEMQ_API_KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"memq-team-sync": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MEMQ_API_KEY",
"ghcr.io/multinex-ai/memq-mcp-server:registry-2.8.1"
],
"env": {
"MEMQ_API_KEY": "<MEMQ_API_KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"memq-team-sync": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MEMQ_API_KEY",
"ghcr.io/multinex-ai/memq-mcp-server:registry-2.8.1"
],
"env": {
"MEMQ_API_KEY": "<MEMQ_API_KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"memq-team-sync": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MEMQ_API_KEY",
"ghcr.io/multinex-ai/memq-mcp-server:registry-2.8.1"
],
"env": {
"MEMQ_API_KEY": "<MEMQ_API_KEY>"
}
}
}
}远程托管
claude mcp add --transport http memq-team-sync https://mcp.multinex.ai/mcp/v1~/.codex/config.toml
[mcp_servers.memq-team-sync]
url = "https://mcp.multinex.ai/mcp/v1"
# codex mcp add memq-team-sync --url https://mcp.multinex.ai/mcp/v1~/.cursor/mcp.json
{
"mcpServers": {
"memq-team-sync": {
"url": "https://mcp.multinex.ai/mcp/v1"
}
}
}.vscode/mcp.json
{
"servers": {
"memq-team-sync": {
"type": "http",
"url": "https://mcp.multinex.ai/mcp/v1"
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"memq-team-sync": {
"httpUrl": "https://mcp.multinex.ai/mcp/v1"
}
}
}claude_desktop_config.json · Customize › Connectors › Add custom connector
{
"mcpServers": {
"memq-team-sync": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.multinex.ai/mcp/v1"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"memq-team-sync": {
"url": "https://mcp.multinex.ai/mcp/v1"
}
}
}需要的环境变量
MEMQ_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。