cachetank mcp for Gemini CLI
io.github.jacobsilver7-art/cachetank-mcp
CacheTank MCP server gives every AI tool your personal context so you never start from zero.
client:Gemini CLI
transport:stdio
runtime:npm
Install cachetank mcp in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"cachetank-mcp": {
"command": "npx",
"args": [
"-y",
"cachetank-mcp"
],
"env": {
"CACHETANK_READ_TOKEN": "<CACHETANK_READ_TOKEN>",
"CACHETANK_WRITE_TOKEN": "<CACHETANK_WRITE_TOKEN>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs