What is the key difference between Audrey and Kawa Code?

Audrey belongs to the Knowledge & Memory category with local stdio execution, while Kawa Code belongs to the Knowledge & Memory category with local stdio execution.

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

Audrey 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?

Audrey lists 0 tools with 0 views and 25 GitHub stars. Kawa Code lists 0 tools with 0 views and 0 GitHub stars.

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

Audrey 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 Audrey and Kawa Code at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both audrey 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, Audrey has a Quality Score of 44 /100 ( Fair ) with 0 views, 0 installs, and 25 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

Audrey vs Kawa Code

In-depth architectural comparison of the Audrey 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

Audrey

Knowledge & Memory · Local stdio

Quality: 44/100 (Fair) | Auth: No auth required

Kawa Code

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Audrey if you need specialized Knowledge & Memory tools running via a local process. 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 Audrey 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 Audrey 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	A Audrey Knowledge & Memory	K Kawa Code Knowledge & Memory
Summary	Local-first biological memory for coding agents: recall, consolidation, and pre-action Guard checks.	Team-aware memory: intent, decisions, real-time conflicts for AI coding assistants.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Audrey 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).

Audrey Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "audrey": {
      "command": "uvx",
      "args": [
        "audrey-memory"
      ]
    }
  }
}

Kawa Code Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

More alternatives to Audrey More alternatives to Kawa Code Knowledge & Memory category hub

Related MCP Server Comparisons

Popular comparisons with Audrey

Popular comparisons with Kawa Code

Kawa Code vs Moxie Docs MCP