调用智谱 AI 模型做文本生成、图片生成、视频生成和多模态理解。
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add ai-xinzine --env KEY='<KEY>' -- npx -y multi-modal-mcp@latest~/.codex/config.toml
[mcp_servers.ai-xinzine]
command = "npx"
args = ["-y", "multi-modal-mcp@latest"]
env = { KEY = "<KEY>" }
# codex mcp add ai-xinzine --env KEY='<KEY>' -- npx -y multi-modal-mcp@latest~/.cursor/mcp.json
{
"mcpServers": {
"ai-xinzine": {
"command": "npx",
"args": [
"-y",
"multi-modal-mcp@latest"
],
"env": {
"KEY": "<KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"ai-xinzine": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"multi-modal-mcp@latest"
],
"env": {
"KEY": "<KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"ai-xinzine": {
"command": "npx",
"args": [
"-y",
"multi-modal-mcp@latest"
],
"env": {
"KEY": "<KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"ai-xinzine": {
"command": "npx",
"args": [
"-y",
"multi-modal-mcp@latest"
],
"env": {
"KEY": "<KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"ai-xinzine": {
"command": "npx",
"args": [
"-y",
"multi-modal-mcp@latest"
],
"env": {
"KEY": "<KEY>"
}
}
}
}Environment variables
KEY
Replace the placeholders with your own credentials and keep them out of version control.