Is io.github.deBilla/data-platform-mcp safe to use?

io.github.deBilla/data-platform-mcp has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.

How do I install io.github.deBilla/data-platform-mcp?

io.github.deBilla/data-platform-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.deBilla/data-platform-mcp do?

io.github.deBilla/data-platform-mcp provides 10 tools: PATH, pytest, Environments, Linux, Windows and 5 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.deBilla/data-platform-mcp?

io.github.deBilla/data-platform-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.deBilla/data-platform-mcp actively maintained?

io.github.deBilla/data-platform-mcp is actively maintained - last commit was 20 days ago. It has 2 GitHub stars.

io.github.deBilla/data-platform-mcp

data-platform-mcp

Read-only BigQuery tools for plain-language data questions, with a cost gate on every query

2 10 tools GitHub PyPI

No known CVEs

MIT license

Actively maintained

Last commit 20d ago

Works with most clients

Transport: stdio, sse, http

10 tools · ~322 tok

Grade A · 0.2% of 200K ctx

MCPpedia last refreshed this data 2d ago

Edit this pageView history

io.github.deBilla/data-platform-mcp is an MCP server that read-only BigQuery tools for plain-language data questions, with a cost gate on every query. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 85/100 on MCPpedia's security, maintenance and efficiency rubric.

Data

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "bigquery": {
      "env": {
        "BQ_PROJECT": "your-gcp-project",
        "GOOGLE_APPLICATION_CREDENTIALS": "/Users/YOU/keys/analyst-key.json"
      },
      "args": [
        "data-platform-mcp"
      ],
      "command": "/Users/YOU/.local/bin/uvx"
    }
  }
}

Are you the author?

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Read me

What io.github.deBilla/data-platform-mcp does

Read-only BigQuery tools for plain-language data questions, with a cost gate on every query

Test This Server

This server supports HTTP transport. Be the first to test it - help the community know if it works.

Loading README…

Scored, not listed

Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

85/100across 5 weighted dimensions

How we score →

0255075100

−15

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked data-platform-mcp against OSV.dev.

Inventory

Tools (10)

Click any tool to inspect its schema.

~322 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience - it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.deBilla/data-platform-mcp safe to use?: io.github.deBilla/data-platform-mcp has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install io.github.deBilla/data-platform-mcp?: io.github.deBilla/data-platform-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.deBilla/data-platform-mcp do?: io.github.deBilla/data-platform-mcp provides 10 tools: PATH, pytest, Environments, Linux, Windows and 5 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.deBilla/data-platform-mcp?: io.github.deBilla/data-platform-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.deBilla/data-platform-mcp actively maintained?: io.github.deBilla/data-platform-mcp is actively maintained - last commit was 20 days ago. It has 2 GitHub stars.

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Data

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "bigquery": {
      "env": {
        "BQ_PROJECT": "your-gcp-project",
        "GOOGLE_APPLICATION_CREDENTIALS": "/Users/YOU/keys/analyst-key.json"
      },
      "args": [
        "data-platform-mcp"
      ],
      "command": "/Users/YOU/.local/bin/uvx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-debilla-data-platform-mcp)](https://mcppedia.org/s/io-github-debilla-data-platform-mcp)

Read me

What io.github.deBilla/data-platform-mcp does

Read-only BigQuery tools for plain-language data questions, with a cost gate on every query

Test This Server

This server supports HTTP transport. Be the first to test it - help the community know if it works.

README

BigQuery MCP

A read-only Model Context Protocol server over Google BigQuery. It lets an AI client (Claude Code, Claude Desktop, …) answer plain-language data questions by discovering schema and running SELECT queries.

The AI does the natural-language → SQL translation; this server just safely executes against BigQuery under your own Google credentials.

Docs: https://debilla.github.io/bigquery-mcp/
Repo: https://github.com/deBilla/bigquery-mcp
PyPI: data-platform-mcp
MCP registry: mcp-name: io.github.deBilla/data-platform-mcp

Tools exposed

Tool	Purpose	Cost
`list_datasets`	List datasets in the project	free
`list_tables`	List tables/views in a dataset	free
`get_table_schema`	Columns (nested paths expanded), partitioning, size, row count	free
`check_table_freshness`	When each table was last written — catches stale sources	free
`list_environments`	Which BigQuery environments are configured, and the default	free
`list_scheduled_queries`	Which scheduled query writes a table, and whether it is disabled or failing	free
`get_scheduled_query`	One query's SQL, destination and recent runs	free
`list_code_assets`	Notebooks, saved queries and data canvases in BigQuery Studio	free
`get_code_asset`	One notebook or saved query's body, notebook outputs stripped	free
`find_code_assets_using_table`	Which notebooks/saved queries read a table	quota, not $
`list_notebook_schedules`	Scheduled Colab notebooks, with how many recent runs failed	free
`list_notebook_runs`	Individual notebook runs across every schedule — failures by default	free
`get_notebook_schedule`	One schedule's cron, notebook and recent errors	free
`run_query`	Run a validated, read-only `SELECT` and return rows	scans data

Only run_query costs anything, so the discovery tools are the ones to spend first. Two of them exist to prevent specific, repeated mistakes:

get_table_schema reports partitioning from table metadata, never from column names. A table with a partition_date column may not be partitioned — in which case no WHERE clause reduces the scan and every query reads the whole table. The response flags this explicitly when the table is large.
check_table_freshness finds tables that stopped being written to without being dropped. Those return stale data rather than an error, which is the failure mode nobody notices.
find_code_assets_using_table answers the other half. The scheduled-query tools say what writes a table; this says who reads it, which is the question before a schema change. It is also the one discovery tool that is not free: it opens every asset it considers, spending Dataform read quota, so it is capped and reports how much of the project it actually covered. A result is evidence about the assets scanned, never proof that nothing else uses the table — assets it could not read are listed separately rather than counted as misses.
list_scheduled_queries says why. A stale table is usually a scheduled query that was disabled or is failing, and that lives in a different API (BigQuery Data Transfer) needing roles/bigquerydatatransfer.viewer. Without that role the two tools return an error naming it and everything else works normally. Most scheduled queries declare no destination because they write with DDL, so the target is read out of the SQL and reported as writes_to_from_sql — a heuristic, labelled as one.

BigQuery Studio notebooks and saved queries

These are not BigQuery resources. BigQuery Studio stores each code asset as a Dataform repository

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

85/100across 5 weighted dimensions

How we score →

0255075100

−15

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked data-platform-mcp against OSV.dev.

Inventory

Tools (10)

Click any tool to inspect its schema.

~322 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience - it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.deBilla/data-platform-mcp safe to use?: io.github.deBilla/data-platform-mcp has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install io.github.deBilla/data-platform-mcp?: io.github.deBilla/data-platform-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.deBilla/data-platform-mcp do?: io.github.deBilla/data-platform-mcp provides 10 tools: PATH, pytest, Environments, Linux, Windows and 5 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.deBilla/data-platform-mcp?: io.github.deBilla/data-platform-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.deBilla/data-platform-mcp actively maintained?: io.github.deBilla/data-platform-mcp is actively maintained - last commit was 20 days ago. It has 2 GitHub stars.