bq-mcp-server / setup / langgraph
Setup guide

Set up bq_mcp_server in LangGraph

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

03Other runtimes

04Provenance
config_sourcegenerated from captured install method
last_checked2026-08-07 11:13Z
sourcesPyPI [p4]

Next step

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Set up bq_mcp_server MCP in LangGraph — MCPExplorer