What is the key difference between Amber and Kawa Code?

Amber belongs to the Knowledge & Memory category with cloud HTTP/SSE execution, while Kawa Code belongs to the Knowledge & Memory category with local stdio execution.

How do I install Amber or Kawa Code 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 Amber and Kawa Code free or paid?

Amber operates under a Free / Open Source model (No auth required). Kawa Code operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Amber lists 0 tools with 0 views and 1 GitHub stars. Kawa Code lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Amber and Kawa Code 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 Amber or Kawa Code 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 Amber and Kawa Code free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both amber-3 and kawa-code 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, Amber has a Quality Score of 39 /100 ( Fair ) with 0 views, 0 installs, and 1 GitHub stars. Kawa Code holds a Quality Score of 40 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Amber vs Kawa Code

In-depth architectural comparison of the Amber and Kawa Code 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

Amber

Knowledge & Memory · Remote HTTP/SSE

Quality: 39/100 (Fair) | Auth: No auth required

Kawa Code

Knowledge & Memory · Local stdio

Quality: 40/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Amber if you need specialized Knowledge & Memory tools running via a hosted cloud SSE transport. Choose Kawa Code 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 Amber when:

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

Explore Amber Details

Choose Kawa Code 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 Kawa Code Details

Feature & Specification Comparison

Specification	Amber Knowledge & Memory	K Kawa Code Knowledge & Memory
Summary	Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.	Team-aware memory: intent, decisions, real-time conflicts for AI coding assistants.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Amber Tools (0)

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

Kawa Code 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).

Amber Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "amber-3": {
      "url": "https://mcp.ambermem.com"
    }
  }
}

Kawa Code Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "kawa-code": {
      "command": "npx",
      "args": [
        "-y",
        "@kawacode/mcp"
      ]
    }
  }
}

Frequently Asked Questions

Amber is categorized under Knowledge & Memory and uses a remote streaming HTTP/SSE transport. In contrast, Kawa Code belongs to Knowledge & Memory using local stdio subprocess. Select Amber when you need capabilities focused on knowledge & memory and Kawa Code when you require tools for knowledge & memory.

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