What is the key difference between Docs Ask (local docs RAG) and Scrivener MCP?

Docs Ask (local docs RAG) 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 Docs Ask (local docs RAG) 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 Docs Ask (local docs RAG) and Scrivener MCP free or paid?

Docs Ask (local docs RAG) operates under a Free / Open Source model (No auth required). Scrivener MCP operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Docs Ask (local docs RAG) lists 0 tools with 0 views and 0 GitHub stars. Scrivener MCP lists 6 tools with 16 views and 51 GitHub stars.

Can I use both Docs Ask (local docs RAG) 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

Docs Ask (local docs RAG) vs Scrivener MCP

In-depth architectural comparison of the Docs Ask (local docs RAG) 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

Docs Ask (local docs RAG)

Knowledge & Memory · Local stdio

Quality: 31/100 (Emerging) | Auth: No auth required

Scrivener MCP

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Docs Ask (local docs RAG) 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 Docs Ask (local docs 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 Docs Ask (local docs RAG) 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: Scrivener 3 document access and editing, Deterministic writing analysis, Keyword and offline semantic search.

Explore Scrivener MCP Details

Feature & Specification Comparison

Specification	Docs Ask (local docs RAG) Knowledge & Memory	Scrivener MCP writerslogic Knowledge & Memory
Summary	Local RAG MCP for markdown documentation. Retrieval only; host synthesizes answers.	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

Docs Ask (local docs RAG) Tools (0)

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

Scrivener MCP Tools (6)

Scrivener 3 document access and editing

Deterministic writing analysis

Keyword and offline semantic search

Character, plot, and project memory tracking

AI-assisted generation and content enhancement

Progressive skill loading

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).

Docs Ask (local docs RAG) Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "docs-ask-local-docs-rag": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}

Scrivener MCP Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

More alternatives to Docs Ask (local docs RAG)More alternatives to Scrivener MCP Knowledge & Memory category hub