BigQuery
This MCP BigQuery Server, developed by monochromegane, provides a server for querying BigQuery tables using the Model Context Protocol. Built with Go and leveraging the Google Cloud BigQuery client library, it offers tools for listing tables and retrieving table schemas from specified datasets. The implementation focuses on providing a standardized interface for AI models to interact with BigQuery data, enabling use cases such as data analysis, reporting, and business intelligence. By connecting AI models with BigQuery's powerful data processing capabilities, this server allows for sophisticated data querying scenarios, enhancing the ability to extract insights from large-scale datasets through a familiar MCP interface.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve BigQuery from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.