What is the key difference between Context Cloud and Memory?

Context Cloud belongs to the Knowledge & Memory category with local stdio execution, while Memory belongs to the Knowledge & Memory category with local stdio execution.

How do I install Context Cloud or Memory 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 Context Cloud and Memory free or paid?

Context Cloud operates under a Free / Open Source model (No auth required). Memory operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Context Cloud lists 0 tools with 0 views and 0 GitHub stars. Memory lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Context Cloud and Memory 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 Context Cloud or Memory 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 Context Cloud and Memory free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both context-cloud and memory-2 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, Context Cloud has a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Memory holds a Quality Score of 29 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Context Cloud vs Memory

In-depth architectural comparison of the Context Cloud and Memory 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

Context Cloud

Knowledge & Memory · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Memory

Knowledge & Memory · Local stdio

Quality: 29/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Context Cloud if you need specialized Knowledge & Memory tools running via a local process. Choose Memory if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Context Cloud when:

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

Explore Context Cloud Details

Choose Memory when:

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

Explore Memory Details

Feature & Specification Comparison

Specification	C Context Cloud Knowledge & Memory	M Memory Knowledge & Memory
Summary	Persistent AI memory with shared team workspaces, typed knowledge chunks, and cross-tool support.	Shared, persistent memory for AI agents — works with Claude, Kiro, Cursor, or any MCP client.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Context Cloud Tools (0)

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

Memory 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).

Context Cloud Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "context-cloud": {
      "command": "npx",
      "args": [
        "-y",
        "context-cloud"
      ]
    }
  }
}

Memory Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "memory-2": {
      "command": "npx",
      "args": [
        "-y",
        "memory-2"
      ]
    }
  }
}

Frequently Asked Questions

Context Cloud is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Memory belongs to Knowledge & Memory using local stdio subprocess. Select Context Cloud when you need capabilities focused on knowledge & memory and Memory when you require tools for knowledge & memory.

More alternatives to Context Cloud More alternatives to Memory Knowledge & Memory category hub

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