What is the key difference between Vector Knowledge Graph Mcp and Rag Knowledge Mcp?

Vector Knowledge Graph Mcp belongs to the Knowledge & Memory category with local stdio execution, while Rag Knowledge Mcp belongs to the Knowledge & Memory category with local stdio execution.

How do I install Vector Knowledge Graph Mcp or Rag Knowledge Mcp 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 Vector Knowledge Graph Mcp and Rag Knowledge Mcp free or paid?

Vector Knowledge Graph Mcp operates under a Free / Open Source model (No auth required). Rag Knowledge Mcp operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Vector Knowledge Graph Mcp lists 0 tools with 0 views and 0 GitHub stars. Rag Knowledge Mcp lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Vector Knowledge Graph Mcp and Rag Knowledge Mcp 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 Vector Knowledge Graph Mcp or Rag Knowledge Mcp 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 Vector Knowledge Graph Mcp and Rag Knowledge Mcp free to use, or do they require API keys?

Vector Knowledge Graph Mcp is listed under a Free / Open Source model with No auth required . Rag Knowledge Mcp 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 Vector Knowledge Graph Mcp and Rag Knowledge Mcp at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both vector-knowledge-graph-mcp and rag-knowledge-mcp 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, Vector Knowledge Graph Mcp has a Quality Score of 40 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Rag Knowledge Mcp holds a Quality Score of 37 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Vector Knowledge Graph Mcp vs Rag Knowledge Mcp

In-depth architectural comparison of the Vector Knowledge Graph Mcp and Rag Knowledge Mcp 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

Vector Knowledge Graph Mcp

Knowledge & Memory · Local stdio

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

Rag Knowledge Mcp

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Vector Knowledge Graph Mcp if you need specialized Knowledge & Memory tools running via a local process. Choose Rag Knowledge Mcp 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 Vector Knowledge Graph 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 Vector Knowledge Graph Mcp Details

Choose Rag Knowledge 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 Rag Knowledge Mcp Details

Feature & Specification Comparison

Specification	V Vector Knowledge Graph Mcp Knowledge & Memory	R Rag Knowledge Mcp Knowledge & Memory
Summary	AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node	MCP server for rag knowledge. Features semantic search, knowledge graph query, index documen...
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Vector Knowledge Graph Mcp Tools (0)

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

Rag Knowledge Mcp 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).

Vector Knowledge Graph Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "vector-knowledge-graph-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest"
      ]
    }
  }
}

Rag Knowledge Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "rag-knowledge-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to Vector Knowledge Graph Mcp More alternatives to Rag Knowledge Mcp Knowledge & Memory category hub Canonical compare URL