What is the key difference between Google Analytics (unofficial) and Blockscout Mcp Server?

Google Analytics (unofficial) belongs to the Developer Tools category with cloud HTTP/SSE execution, while Blockscout Mcp Server belongs to the Developer Tools category with cloud HTTP/SSE execution.

How do I install Google Analytics (unofficial) or Blockscout Mcp Server 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.

Which MCP server has more tools and community activity?

Google Analytics (unofficial) lists 0 tools with 0 views and 0 GitHub stars. Blockscout Mcp Server lists 0 tools with 0 views and 43 GitHub stars.

Can I use both Google Analytics (unofficial) and Blockscout Mcp Server 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.

How do I install Google Analytics (unofficial) or Blockscout Mcp Server in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Google Analytics (unofficial) and Blockscout Mcp Server free to use, or do they require API keys?

Google Analytics (unofficial) is listed under a Free / Open Source model with No auth required . Blockscout Mcp Server operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Google Analytics (unofficial) and Blockscout Mcp Server at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both google-analytics-unofficial and blockscout-mcp-server as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Google Analytics (unofficial) has a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Blockscout Mcp Server holds a Quality Score of 47 /100 ( Fair ) with 0 views, 0 installs, and 43 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Google Analytics (unofficial) vs Blockscout Mcp Server

Q: Are Google Analytics (unofficial) and Blockscout Mcp Server free or paid?

Google Analytics (unofficial) operates under a Free / Open Source model (No auth required). Blockscout Mcp Server operates under a Free / Open Source model (No auth required).

In-depth architectural comparison of the Google Analytics (unofficial) and Blockscout Mcp Server 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

Google Analytics (unofficial)

Developer Tools · Remote HTTP/SSE

Quality: 42/100 (Fair) | Auth: No auth required

Blockscout Mcp Server

Developer Tools · Remote HTTP/SSE

Quality: 47/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Google Analytics (unofficial) if you need specialized Developer Tools tools running via a hosted cloud SSE transport. Choose Blockscout Mcp Server if your workspace requires Developer Tools integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Google Analytics (unofficial) when:

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

Explore Google Analytics (unofficial) Details

Choose Blockscout Mcp Server when:

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

Explore Blockscout Mcp Server Details

Feature & Specification Comparison

Specification	G Google Analytics (unofficial) Developer Tools	Blockscout Mcp Server Developer Tools
Summary	Connect Google Analytics to ChatGPT. Query GA4 data in plain English and get instant insights.	Provide AI agents and automation tools with contextual access to blockchain data including balance…
Category & Scope	Developer Tools	Developer Tools
Quality signal

Tools & Capabilities Breakdown

Google Analytics (unofficial) Tools (0)

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

Blockscout Mcp Server 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).

Google Analytics (unofficial) Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "google-analytics-unofficial": {
      "url": "https://safe-mcp.com"
    }
  }
}

Blockscout Mcp Server Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "blockscout-mcp-server": {
      "url": "https://smithery.ai/badge/@blockscout/mcp-server)](https://smithery.ai/server/@blockscout/mcp-server"
    }
  }
}

Frequently Asked Questions

Google Analytics (unofficial) is categorized under Developer Tools and uses a remote streaming HTTP/SSE transport. In contrast, Blockscout Mcp Server belongs to Developer Tools using remote streaming HTTP/SSE transport. Select Google Analytics (unofficial) when you need capabilities focused on developer tools and Blockscout Mcp Server when you require tools for developer tools.

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