MCP Servers
LucasHild/mcp-server-bigquery
A Model Context Protocol server that provides access to BigQuery
Our verdict
We have not reviewed LucasHild/mcp-server-bigquery yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About LucasHild/mcp-server-bigquery
Connects your AI assistant to BigQuery so you can ask questions about the data sitting in your warehouse, sales figures, marketing performance, product usage, and get an answer without writing SQL yourself. Built for businesses that already export data (from GA4, ad platforms, or internal systems) into BigQuery and want a faster way to query it. Requires a BigQuery project and service account already set up.
Best for
Businesses with data already flowing into BigQuery who want plain-English answers, not SQL
Use cases
- Ask for last month's sales or signups from your data warehouse
- Pull a marketing performance summary without writing a query
- Explore product usage data through natural-language questions
- Get a quick number for a report without opening a BI tool
Notes
An open-source Model Context Protocol server that exposes BigQuery as a tool for AI models. It enables models like Claude to query BigQuery databases by wrapping SQL operations in MCP endpoints. Built in Python and maintained by the community.
126 stars on GitHub. Last updated 2026-03-26. Licensed MIT.
Pros
- Simple setup for developers already using BigQuery and MCP
- Lightweight Python implementation easy to extend or debug
- Directly bridges AI models with a major cloud data warehouse
Cons
- Requires manual BigQuery authentication and service account setup
- Limited to the MCP protocol, not a general-purpose BigQuery client
- Community-driven with modest adoption and documentation
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
npx -y @smithery/cli install mcp-server-bigquery --client claudeTools exposed
execute-querylist-tablesdescribe-table
Clients the listing names (not checked here)
Claude Desktop, Claude Code, Cursor
Install
Add LucasHild/mcp-server-bigquery to your client
No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.
Until then, follow the project's own README, or the setup the listing publishes under How to set it up.
Works with
What LucasHild/mcp-server-bigquery connects to
No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.
Health and security
Is LucasHild/mcp-server-bigquery looked after, and what do its setup files show
Security check static checks
97 out of 100
- Low The documented install uses @smithery/cli, whose published metadata points at github.com/smithery-ai/cli, not this repository. Check it is the right package before installing.
- Note No published npm or PyPI package of this repository was found, so package advisories were not checked.
- Note The lab has not recorded this server's tool list yet, so tool permissions were not checked.
Alternatives
Alternatives to LucasHild/mcp-server-bigquery
| Record | Type | How we know | Checked |
|---|---|---|---|
| googleapis/genai-toolboxThis is an alternative to it | MCP server | Named in the listing | Not dated |
Compare
Compare LucasHild/mcp-server-bigquery side by side
Sources
Where this comes from
No sources recorded yet. Each source we check is listed here with the date we checked it.
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Pairs with
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