What is the key difference between Arthor Agent and Cross Llm Mcp?

Arthor Agent belongs to the Knowledge & Memory category with local stdio execution, while Cross Llm Mcp belongs to the Knowledge & Memory category with local stdio execution.

How do I install Arthor Agent or Cross Llm 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 Arthor Agent and Cross Llm Mcp free or paid?

Arthor Agent operates under a BYOK (Pay Provider Direct) model (API Key required). Cross Llm Mcp operates under a BYOK (Pay Provider Direct) model (API Key required).

Which MCP server has more tools and community activity?

Arthor Agent lists 6 tools with 3 views and 98 GitHub stars. Cross Llm Mcp lists 5 tools with 1 views and 16 GitHub stars.

Can I use both Arthor Agent and Cross Llm 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 Arthor Agent or Cross Llm 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 Arthor Agent and Cross Llm Mcp free to use, or do they require API keys?

Arthor Agent is listed under a BYOK (Pay Provider Direct) model with API Key required . Cross Llm Mcp operates under a BYOK (Pay Provider Direct) model with API Key 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 Arthor Agent and Cross Llm Mcp at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both arthurpanhku-arthor-agent and jamesanz-cross-llm-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, Arthor Agent has a Quality Score of 47 /100 ( Fair ) with 3 views, 0 installs, and 98 GitHub stars. Cross Llm Mcp holds a Quality Score of 43 /100 ( Fair ) with 1 views, 0 installs, and 16 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Arthor Agent vs Cross Llm Mcp

In-depth architectural comparison of the Arthor Agent and Cross Llm 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

Arthor Agent

Knowledge & Memory · Local stdio

Quality: 47/100 (Fair) | Auth: API Key required

Cross Llm Mcp

Knowledge & Memory · Local stdio

Quality: 43/100 (Fair) | Auth: API Key required

Verdict Summary: Choose Arthor Agent if you need specialized Knowledge & Memory tools running via a local process. Choose Cross Llm 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 Arthor Agent when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: OPENAI_API_KEY, ANTHROPIC_API_KEY, QWEN_API_KEY, OLLAMA_API_KEY.
Primary tools included: Multi-format document parsing (PDF, Word, Excel, PPT, text), RAG-based knowledge base for policy and compliance referencing, Structured JSON/Markdown output with risks, gaps, and remediations.

Explore Arthor Agent Details

Choose Cross Llm Mcp when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: .

Feature & Specification Comparison

Specification	Arthor Agent arthurpanhku Knowledge & Memory	Cross Llm Mcp JamesANZ Knowledge & Memory
Summary	MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations.	An MCP server that enables cross-LLM communication and memory sharing, allowing different AI models to collaborate and share context across conversations.
Category & Scope	Knowledge & Memory

Tools & Capabilities Breakdown

Arthor Agent Tools (6)

Multi-format document parsing (PDF, Word, Excel, PPT, text)

RAG-based knowledge base for policy and compliance referencing

Structured JSON/Markdown output with risks, gaps, and remediations

Support for multiple LLMs including OpenAI, Claude, Qwen, Ollama

LangGraph orchestration for stateful, conditional agent workflows

Local React console for workflow management and human review

Cross Llm Mcp Tools (5)

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).

Arthor Agent Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "arthurpanhku-arthor-agent": {
      "command": "npx",
      "args": [
        "-y",
        "arthurpanhku-arthor-agent"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE",
        "ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
        "QWEN_API_KEY": "YOUR_QWEN_API_KEY_HERE",
        "OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY_HERE"
      }
    }
  }
}

Cross Llm Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "jamesanz-cross-llm-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "jamesanz-cross-llm-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE",
        "ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
        "DEEPSEEK_API_KEY": "YOUR_DEEPSEEK_API_KEY_HERE",
        "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY_HERE",
        "XAI_API_KEY": "YOUR_XAI_API_KEY_HERE",
        "KIMI_API_KEY": "YOUR_KIMI_API_KEY_HERE",
        "PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
        "MISTRAL_API_KEY": "YOUR_MISTRAL_API_KEY_HERE"
      }
    }
  }
}

Frequently Asked Questions

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

More alternatives to Arthor Agent More alternatives to Cross Llm Mcp Knowledge & Memory category hub