What is the key difference between Gemini Cloud Assist Mcp and Tfmcp?

Gemini Cloud Assist Mcp belongs to the Cloud Platforms category with local stdio execution, while Tfmcp belongs to the Cloud Platforms category with cloud HTTP/SSE execution.

How do I install Gemini Cloud Assist Mcp or Tfmcp 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 Gemini Cloud Assist Mcp and Tfmcp free or paid?

Gemini Cloud Assist Mcp operates under a Free / Open Source model (No auth required). Tfmcp operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Gemini Cloud Assist Mcp lists 5 tools with 0 views and 65 GitHub stars. Tfmcp lists 80 tools with 1 views and 371 GitHub stars.

Can I use both Gemini Cloud Assist Mcp and Tfmcp 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 Gemini Cloud Assist Mcp or Tfmcp 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 Gemini Cloud Assist Mcp and Tfmcp free to use, or do they require API keys?

Gemini Cloud Assist Mcp is listed under a Free / Open Source model with No auth required . Tfmcp 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 Gemini Cloud Assist Mcp and Tfmcp at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both gemini-cloud-assist-mcp and nwiizo-tfmcp 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, Gemini Cloud Assist Mcp has a Quality Score of 49 /100 ( Fair ) with 0 views, 0 installs, and 65 GitHub stars. Tfmcp holds a Quality Score of 63 /100 ( Good ) with 1 views, 0 installs, and 371 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Gemini Cloud Assist Mcp vs Tfmcp

In-depth architectural comparison of the Gemini Cloud Assist Mcp and Tfmcp 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

Gemini Cloud Assist Mcp

Cloud Platforms · Local stdio

Quality: 49/100 (Fair) | Auth: No auth required

Tfmcp

Cloud Platforms · Remote HTTP/SSE

Quality: 63/100 (Good) | Auth: No auth required

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

Which MCP Server Should You Choose?

Choose Gemini Cloud Assist Mcp when:

You need dedicated capabilities in the Cloud Platforms domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: setup_adc, manage_application, manage_application_template.

Explore Gemini Cloud Assist Mcp Details

Choose Tfmcp when:

You need dedicated capabilities in the Cloud Platforms domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
You have access to required keys: TERRAFORM_DIR, TFMCP_LOG_LEVEL, HOME, PATH.
Primary tools included: init_terraform, get_terraform_plan, analyze_plan.

Explore Tfmcp Details

Feature & Specification Comparison

Specification	G Gemini Cloud Assist Mcp Cloud Platforms	Tfmcp nwiizo Cloud Platforms
Summary	MCP Server for understanding, managing & troubleshooting your GCP environment.	A Terraform MCP server allowing AI assistants to manage and operate Terraform environments, enabling reading configurations, analyzing plans, applying configurations, and managing Terraform state.
Category & Scope	Cloud Platforms	Cloud Platforms

Tools & Capabilities Breakdown

Gemini Cloud Assist Mcp Tools (5)

setup_adc

Initializes the Application Design Center environment. This is a one-time setup step that must be performed before other ADC tools can be used.

manage_application

Manages the deployment lifecycle of an application. Use this tool to deploy a verified design using the Application Design Center or retrieve the status and details of an existing deployment. This is the final step that turns your design into a deployed infrastructure on Google Cloud.

manage_application_template

Manages the Infrastructure as Code (IaC) content of your infrastructure design. Use this to save the design as an Application Design Center template, export the design as Terraform files, or update the design (e.g. component, parameters configurations etc).

assess_best_practices

Performs a comprehensive security and configuration audit on your application design before deployment. It validates the design against Security Command Center frameworks and relevant controls, returning a report with actionable findings for remediation.

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).

Gemini Cloud Assist Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "gemini-cloud-assist-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "gemini-cloud-assist-mcp"
      ]
    }
  }
}

Tfmcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "nwiizo-tfmcp": {
      "url": "https://archestra.ai/mcp-catalog/api/badge/quality/nwiizo/tfmcp)](https://archestra.ai/mcp-catalog/nwiizo__tfmcp"
    }
  }
}

Frequently Asked Questions

Gemini Cloud Assist Mcp is categorized under Cloud Platforms and uses a local stdio subprocess. In contrast, Tfmcp belongs to Cloud Platforms using remote streaming HTTP/SSE transport. Select Gemini Cloud Assist Mcp when you need capabilities focused on cloud platforms and Tfmcp when you require tools for cloud platforms.

More alternatives to Gemini Cloud Assist Mcp More alternatives to Tfmcp Cloud Platforms category hub