Sends a question to several local Ollama models and combines their answers into one response, acting as a council of models for decisions.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add multi-ai-advisor -- npx @YuChenSSR/multi-ai-advisor-mcp~/.codex/config.toml
[mcp_servers.multi-ai-advisor]
command = "npx"
args = ["@YuChenSSR/multi-ai-advisor-mcp"]
# codex mcp add multi-ai-advisor -- npx @YuChenSSR/multi-ai-advisor-mcp~/.cursor/mcp.json
{
"mcpServers": {
"multi-ai-advisor": {
"command": "npx",
"args": [
"@YuChenSSR/multi-ai-advisor-mcp"
]
}
}
}.vscode/mcp.json
{
"servers": {
"multi-ai-advisor": {
"type": "stdio",
"command": "npx",
"args": [
"@YuChenSSR/multi-ai-advisor-mcp"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"multi-ai-advisor": {
"command": "npx",
"args": [
"@YuChenSSR/multi-ai-advisor-mcp"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"multi-ai-advisor": {
"command": "npx",
"args": [
"@YuChenSSR/multi-ai-advisor-mcp"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"multi-ai-advisor": {
"command": "npx",
"args": [
"@YuChenSSR/multi-ai-advisor-mcp"
]
}
}
}