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Pre-flight query cost and result-size guardrails for AI agents on BigQuery, Snowflake, Databricks
npx @getmcp/cli add io.github.mcpsmiths/cost-guard-mcpRequires Python 3.10+. Community-contributed server. Review source before installing.
Config file: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"io.github.mcpsmiths/cost-guard-mcp": {
"command": "uvx",
"args": [
"cost-guard-mcp"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "",
"SNOWFLAKE_ACCOUNT": "",
"SNOWFLAKE_USER": "",
"SNOWFLAKE_ROLE": "",
"SNOWFLAKE_SECONDARY_ROLES": "",
"SNOWFLAKE_PRIVATE_KEY_PATH": "",
"SNOWFLAKE_PRIVATE_KEY_PASSPHRASE": "",
"SNOWFLAKE_PASSWORD": "",
"SNOWFLAKE_EDITION": "",
"DATABRICKS_SERVER_HOSTNAME": "",
"DATABRICKS_HTTP_PATH": "",
"DATABRICKS_TOKEN": "",
"DATABRICKS_CLIENT_ID": "",
"DATABRICKS_CLIENT_SECRET": "",
"COST_GUARD_ALLOW_MULTI_STATEMENT_SQL": "",
"COST_GUARD_ALLOW_WRITE_STATEMENTS": "",
"COST_GUARD_MAX_IN_FLIGHT_QUERIES": "",
"COST_GUARD_DATABRICKS_ALLOW_WAREHOUSE_START": "",
"COST_GUARD_SNOWFLAKE_ALLOW_WAREHOUSE_RESUME": ""
}
}
}
}Ephemeral data sandbox for AI workflows with guardrails and security
Reasonbook: decisions that survive the session, in a local record AI agents keep.
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