What is the key difference between OmniClip RAG and Audrey?

OmniClip RAG belongs to the Knowledge & Memory category with local stdio execution, while Audrey belongs to the Knowledge & Memory category with local stdio execution.

How do I install OmniClip RAG or Audrey 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 OmniClip RAG and Audrey free or paid?

OmniClip RAG operates under a Free / Open Source model (No auth required). Audrey operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

OmniClip RAG lists 0 tools with 0 views and 45 GitHub stars. Audrey lists 0 tools with 0 views and 25 GitHub stars.

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

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

Yes! MCP clients support multi-server orchestration. You can include both omniclip-rag and audrey 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, OmniClip RAG has a Quality Score of 37 /100 ( Fair ) with 0 views, 0 installs, and 45 GitHub stars. Audrey holds a Quality Score of 44 /100 ( Fair ) with 0 views, 0 installs, and 25 GitHub stars.

Side-by-Side Model Context Protocol Comparison

OmniClip RAG vs Audrey

In-depth architectural comparison of the OmniClip RAG and Audrey 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

OmniClip RAG

Knowledge & Memory · Local stdio

Quality: 37/100 (Fair) | Auth: No auth required

Audrey

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose OmniClip RAG if you need specialized Knowledge & Memory tools running via a local process. Choose Audrey 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 OmniClip RAG 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 OmniClip RAG Details

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

Feature & Specification Comparison

Specification	O OmniClip RAG Knowledge & Memory	A Audrey Knowledge & Memory
Summary	Read-only local-first MCP server for private Markdown, PDF, and Tika-backed search on Windows.	Local-first biological memory for coding agents: recall, consolidation, and pre-action Guard checks.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

OmniClip RAG Tools (0)

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

Audrey 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).

OmniClip RAG Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "omniclip-rag": {
      "command": "npx",
      "args": [
        "-y",
        "omniclip-rag"
      ]
    }
  }
}

Audrey Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

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