bq-mcp-server / setup / crewai
Setup guide

Set up bq_mcp_server in CrewAI

communityunknownunknownno verified config · noindex

Python-based MCP (Model Context Protocol) server that retrieves dataset, table, and schema information from Google Cloud BigQuery


01Configuration
# bq_mcp_server via CrewAI # transport: unknown # launch: uvx bq_mcp_server

CrewAI connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.


02Steps
  1. Make sure CrewAI is installed and up to date.
  2. Wire the server into CrewAI using its MCP client API.
  3. Provide any required API keys/credentials as environment variables.
  4. Restart CrewAI and confirm bq_mcp_server’s tools appear.

03Other runtimes

04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-29 07:51Z
sourcesPyPI [p4]

Next step

Ship bq_mcp_server to your agents as a governed Loadout — config, scopes, and approval rules in one place.

Build a Loadout

See also: server page · is it safe? · alternatives

Set up bq_mcp_server MCP in CrewAI — MCPExplorer