What is the key difference between Mcp Server and Hubmesh?

Mcp Server belongs to the Knowledge & Memory category with local stdio execution, while Hubmesh belongs to the Knowledge & Memory category with local stdio execution.

How do I install Mcp Server or Hubmesh 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 Mcp Server and Hubmesh free or paid?

Mcp Server operates under a Free / Open Source model (No auth required). Hubmesh operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Mcp Server lists 0 tools with 0 views and 0 GitHub stars. Hubmesh lists 0 tools with 1 views and 2 GitHub stars.

Can I use both Mcp Server and Hubmesh 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 Mcp Server or Hubmesh 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 Mcp Server and Hubmesh free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both mcp-server-67 and hubmesh 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, Mcp Server has a Quality Score of 23 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Hubmesh holds a Quality Score of 41 /100 ( Fair ) with 1 views, 0 installs, and 2 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Mcp Server vs Hubmesh

In-depth architectural comparison of the Mcp Server and Hubmesh 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

Mcp Server

Knowledge & Memory · Local stdio

Quality: 23/100 (Emerging) | Auth: No auth required

Hubmesh

Knowledge & Memory · Local stdio

Quality: 41/100 (Fair) | Auth: No auth required

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

Choose Hubmesh 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 Hubmesh Details

Feature & Specification Comparison

Specification	M Mcp Server Knowledge & Memory	H Hubmesh Knowledge & Memory
Summary	An MCP server that provides visual memory and context storage with knowledge graph capabilities	Deterministic multi-hop graph retrieval for RAG. Zero LLM calls in the query path.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Mcp Server Tools (0)

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

Hubmesh 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).

Mcp Server Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "mcp-server-67": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-67"
      ]
    }
  }
}

Hubmesh Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "hubmesh": {
      "command": "uvx",
      "args": [
        "hubmesh"
      ]
    }
  }
}

Frequently Asked Questions

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

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