What is the key difference between OmniClip RAG and Epiphany?

OmniClip RAG belongs to the Knowledge & Memory category with local stdio execution, while Epiphany belongs to the Knowledge & Memory category with cloud HTTP/SSE execution.

How do I install OmniClip RAG or Epiphany 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 Epiphany free or paid?

OmniClip RAG operates under a Free / Open Source model (No auth required). Epiphany 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. Epiphany lists 0 tools with 0 views and 1 GitHub stars.

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

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

Yes! MCP clients support multi-server orchestration. You can include both omniclip-rag and epiphany 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. Epiphany holds a Quality Score of 43 /100 ( Fair ) with 0 views, 0 installs, and 1 GitHub stars.

Side-by-Side Model Context Protocol Comparison

OmniClip RAG vs Epiphany

In-depth architectural comparison of the OmniClip RAG and Epiphany 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

Epiphany

Knowledge & Memory · Remote HTTP/SSE

Quality: 43/100 (Fair) | Auth: No auth required

Verdict Summary: Choose OmniClip RAG if you need specialized Knowledge & Memory tools running via a local process. Choose Epiphany if your workspace requires Knowledge & Memory integration with remote web transport. 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 Epiphany 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 Epiphany Details

Feature & Specification Comparison

Specification	O OmniClip RAG Knowledge & Memory	E Epiphany Knowledge & Memory
Summary	Read-only local-first MCP server for private Markdown, PDF, and Tika-backed search on Windows.	One private, local memory your AI tools share. Cross-model, on-device, never lose a session.
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.

Epiphany 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"
      ]
    }
  }
}

Epiphany Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "epiphany": {
      "url": "https://modelcontextprotocol.io"
    }
  }
}

Frequently Asked Questions

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

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