What is the key difference between Cross Llm MCP and Scrivener MCP?

Cross Llm MCP belongs to the Knowledge & Memory category with local stdio execution, while Scrivener MCP belongs to the Knowledge & Memory category with local stdio execution.

How do I install Cross Llm MCP or Scrivener 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 Cross Llm MCP and Scrivener MCP free or paid?

Cross Llm MCP operates under a BYOK (Pay Provider Direct) model (API Key required). Scrivener MCP operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Cross Llm MCP lists 6 tools with 3 views and 16 GitHub stars. Scrivener MCP lists 6 tools with 16 views and 52 GitHub stars.

Can I use both Cross Llm MCP and Scrivener 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.

Side-by-Side Model Context Protocol Comparison

Cross Llm MCP vs Scrivener MCP

In-depth architectural comparison of the Cross Llm MCP and Scrivener 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

Cross Llm MCP

Knowledge & Memory · Local stdio

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

Scrivener MCP

Knowledge & Memory · Local stdio

Quality: 61/100 (Good) | Auth: No auth required

Verdict Summary: Choose Cross Llm MCP if you need specialized Knowledge & Memory tools running via a local process. Choose Scrivener 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 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: OPENAI_API_KEY, ANTHROPIC_API_KEY, DEEPSEEK_API_KEY, GEMINI_API_KEY, XAI_API_KEY, KIMI_API_KEY, PERPLEXITY_API_KEY, MISTRAL_API_KEY.
Primary tools included: Unified access to nine LLM providers, Call one provider or all providers, Tag-based model preferences.

Explore Cross Llm MCP Details

Choose Scrivener 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).
Primary tools included: .

Feature & Specification Comparison

Specification	Cross Llm MCP JamesANZ Knowledge & Memory	Scrivener MCP writerslogic Knowledge & Memory
Summary	An MCP server that enables cross-LLM communication and memory sharing, allowing different AI models to collaborate and share context across conversations.	Connect Scrivener 3 writing projects to Claude and other AI assistants. 47 tools for document management, writing analysis, semantic search, character/plot memory, and content enhancement. Progressive skill loading, relationship engine with HMS triplets, and JS fallback for offline semantic search. npm i -g scrivener-mcp
Category & Scope

Tools & Capabilities Breakdown

Cross Llm MCP Tools (6)

Unified access to nine LLM providers

Call one provider or all providers

Tag-based model preferences

Cost-oriented model selection

Prompt history and statistics

Hosted Hugging Face model calls

Scrivener MCP Tools (6)

Scrivener 3 document access and editing

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).

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"
      }
    }
  }
}

Scrivener MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "writerslogic-scrivener-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "scrivener-setup"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to Cross Llm MCP More alternatives to Scrivener MCP Knowledge & Memory category hub