What is the key difference between Bigquery MCP and Cloud?

Bigquery MCP belongs to the Databases category with local stdio execution, while Cloud belongs to the Databases category with cloud HTTP/SSE execution.

How do I install Bigquery MCP or Cloud in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Bigquery MCP and Cloud free or paid?

Bigquery MCP operates under a Free / Open Source model (No auth required). Cloud operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Bigquery MCP lists 0 tools with 0 views and 10 GitHub stars. Cloud lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Bigquery MCP and Cloud together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Bigquery MCP vs Cloud

In-depth architectural comparison of the Bigquery MCP and Cloud MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Bigquery MCP

Databases · Local stdio

Quality: 43/100 (Fair) | Auth: No auth required

Cloud

Databases · Remote HTTP/SSE

Quality: 25/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Bigquery MCP if you need specialized Databases tools running via a local process. Choose Cloud if your workspace requires Databases integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Bigquery MCP when:

You need dedicated capabilities in the Databases domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Bigquery MCP Details

Choose Cloud when:

You need dedicated capabilities in the Databases domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Cloud Details

Feature & Specification Comparison

Specification	Bigquery MCP Databases	C Cloud Databases
Summary	A SnowLeopardAI-managed MCP server that provides access to Google BigQuery data.	The agent-native cloud: database, functions, AI, storage, auth and more. 40+ tools, one API key.
Category & Scope	Databases	Databases
Quality signal

Tools & Capabilities Breakdown

Bigquery MCP Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Cloud Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Bigquery MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "bigquery-mcp": {
      "command": "uvx",
      "args": [
        "executable"
      ]
    }
  }
}

Cloud Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "cloud": {
      "url": "https://scalix.world"
    }
  }
}

Frequently Asked Questions

Bigquery MCP is categorized under Databases and uses a local stdio subprocess. In contrast, Cloud belongs to Databases using remote streaming HTTP/SSE transport. Select Bigquery MCP when you need capabilities focused on databases and Cloud when you require tools for databases.

More alternatives to Bigquery MCP More alternatives to Cloud Databases category hub