What is the key difference between Dakera Mcp and OmniClip RAG?

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

How do I install Dakera Mcp or OmniClip RAG 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 Dakera Mcp and OmniClip RAG free or paid?

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

Which MCP server has more tools and community activity?

Dakera Mcp lists 0 tools with 0 views and 8 GitHub stars. OmniClip RAG lists 0 tools with 1 views and 45 GitHub stars.

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

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

Yes! MCP clients support multi-server orchestration. You can include both dakera-mcp and omniclip-rag 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, Dakera Mcp has a Quality Score of 43 /100 ( Fair ) with 0 views, 0 installs, and 8 GitHub stars. OmniClip RAG holds a Quality Score of 37 /100 ( Fair ) with 1 views, 0 installs, and 45 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Dakera Mcp vs OmniClip RAG

In-depth architectural comparison of the Dakera Mcp and OmniClip RAG 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

Dakera Mcp

Knowledge & Memory · Local stdio

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

OmniClip RAG

Knowledge & Memory · Local stdio

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

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

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

Feature & Specification Comparison

Specification	D Dakera Mcp Knowledge & Memory	O OmniClip RAG Knowledge & Memory
Summary	Decay-weighted vector memory for AI agents — 83 MCP tools: store, recall, search, knowledge graphs.	Read-only local-first MCP server for private Markdown, PDF, and Tika-backed search on Windows.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Dakera Mcp Tools (0)

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

OmniClip RAG 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).

Dakera Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "dakera-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@dakera-ai/dakera-mcp"
      ]
    }
  }
}

OmniClip RAG Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

More alternatives to Dakera Mcp More alternatives to OmniClip RAG Knowledge & Memory category hub

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