Cost Guard MCP for Gemini CLI
io.github.mcpsmiths/cost-guard-mcp
Pre-flight query cost and result-size guardrails for AI agents on BigQuery, Snowflake, Databricks
client:Gemini CLI
transport:stdio
runtime:pypi
Install Cost Guard MCP in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"cost-guard-mcp": {
"command": "uvx",
"args": [
"cost-guard-mcp"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "<GOOGLE_APPLICATION_CREDENTIALS>",
"SNOWFLAKE_ACCOUNT": "<SNOWFLAKE_ACCOUNT>",
"SNOWFLAKE_USER": "<SNOWFLAKE_USER>",
"SNOWFLAKE_ROLE": "<SNOWFLAKE_ROLE>",
"SNOWFLAKE_PRIVATE_KEY_PATH": "<SNOWFLAKE_PRIVATE_KEY_PATH>",
"SNOWFLAKE_PRIVATE_KEY_PASSPHRASE": "<SNOWFLAKE_PRIVATE_KEY_PASSPHRASE>",
"SNOWFLAKE_PASSWORD": "<SNOWFLAKE_PASSWORD>",
"DATABRICKS_SERVER_HOSTNAME": "<DATABRICKS_SERVER_HOSTNAME>",
"DATABRICKS_HTTP_PATH": "<DATABRICKS_HTTP_PATH>",
"DATABRICKS_TOKEN": "<DATABRICKS_TOKEN>",
"DATABRICKS_CLIENT_ID": "<DATABRICKS_CLIENT_ID>",
"DATABRICKS_CLIENT_SECRET": "<DATABRICKS_CLIENT_SECRET>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs