BigQuery Analysis
The BigQuery Analysis MCP Server provides tools for safely executing SQL queries on Google BigQuery datasets. It offers two main capabilities: performing dry runs to validate queries and estimate their processing size, and executing validated queries with built-in safeguards that prevent data manipulation language (DML) statements and limit query size to 1 TB. The server uses application default credentials for authentication and returns query results in JSON format, making it ideal for data analysts and developers who need to perform controlled analytics operations on large datasets without risking costly or destructive operations.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve BigQuery Analysis 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.