bq-mcp-server / setup / langgraph
Setup guide
Set up bq_mcp_server in LangGraph
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 LangGraph
# transport: unknown
# launch: uvx bq_mcp_server
LangGraph connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.
02Steps
- Make sure LangGraph is installed and up to date.
- Wire the server into LangGraph using its MCP client API.
- Provide any required API keys/credentials as environment variables.
- Restart LangGraph 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 LoadoutSee also: server page · is it safe? · alternatives