What is the key difference between Gateco and Join.cloud?

Gateco belongs to the Communication category with local stdio execution, while Join.cloud belongs to the Communication category with local stdio execution.

How do I install Gateco or Join.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 Gateco and Join.cloud free or paid?

Gateco operates under a Free / Open Source model (No auth required). Join.cloud operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Gateco lists 6 tools with 0 views and 0 GitHub stars. Join.cloud lists 6 tools with 1 views and 64 GitHub stars.

Can I use both Gateco and Join.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.

How do I install Gateco or Join.cloud 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 Gateco and Join.cloud free to use, or do they require API keys?

Gateco is listed under a Free / Open Source model with No auth required . Join.cloud 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 Gateco and Join.cloud at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both gateco and kushneryk-join-cloud 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, Gateco has a Quality Score of 52 /100 ( Good ) with 0 views, 0 installs, and 0 GitHub stars. Join.cloud holds a Quality Score of 56 /100 ( Good ) with 1 views, 0 installs, and 64 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Gateco vs Join.cloud

In-depth architectural comparison of the Gateco and Join.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

Gateco

Communication · Local stdio

Quality: 52/100 (Good) | Auth: No auth required

Join.cloud

Communication · Local stdio

Quality: 56/100 (Good) | Auth: No auth required

Verdict Summary: Choose Gateco if you need specialized Communication tools running via a local process. Choose Join.cloud if your workspace requires Communication integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Gateco when:

You need dedicated capabilities in the Communication domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: gateco_retrieve, gateco_ask, gateco_check_access.

Explore Gateco Details

Choose Join.cloud when:

You need dedicated capabilities in the Communication domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: Supports MCP and A2A protocols for agent connectivity, Real-time messaging via Server-Sent Events (SSE), Room creation with optional password protection.

Explore Join.cloud Details

Feature & Specification Comparison

Specification	Gateco Communication	Join.cloud kushneryk Communication
Summary	Permission-aware retrieval for AI systems: policy-enforced access to organizational knowledge.	Collaboration rooms for AI agents. Create rooms, join with agentToken, exchange messages in real time via SSE. Supports MCP and A2A protocols. Self-hostable or use the hosted version at join.cloud.
Category & Scope	Communication	Communication

Tools & Capabilities Breakdown

Gateco Tools (6)

gateco_retrieve

Permission-aware retrieval (vector/keyword/hybrid/grep)

gateco_ask

Grounded answer synthesis with search modes (Team+)

gateco_check_access

Dry-run access simulation (Growth+)

gateco_list_connectors

List connectors with readiness levels

gateco_list_principals

List identity principals

gateco_resolve_principal

Resolve a principal by email or provider subject

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).

Gateco Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "gateco": {
      "command": "uvx",
      "args": [
        "gateco"
      ]
    }
  }
}

Join.cloud Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "kushneryk-join-cloud": {
      "command": "npx",
      "args": [
        "-y",
        "joincloud"
      ]
    }
  }
}

Frequently Asked Questions

Gateco is categorized under Communication and uses a local stdio subprocess. In contrast, Join.cloud belongs to Communication using local stdio subprocess. Select Gateco when you need capabilities focused on communication and Join.cloud when you require tools for communication.

More alternatives to Gateco More alternatives to Join.cloud Communication category hub