mcp server for Gemini CLI
io.github.vectros-ai/mcp-server
Typed record store + hybrid search over MCP: deterministic lookups + semantic memory, per-customer.
client:Gemini CLI
transport:stdio
runtime:npm
Install mcp server in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@vectros-ai/mcp-server"
],
"env": {
"VECTROS_API_KEY": "<VECTROS_API_KEY>",
"VECTROS_KEYRING_ALIAS": "<VECTROS_KEYRING_ALIAS>",
"VECTROS_API_BASE_URL": "<VECTROS_API_BASE_URL>",
"VECTROS_MCP_TOOLS": "<VECTROS_MCP_TOOLS>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs