What is the key difference between Ai·rete·rag and Scrivener MCP?

Ai·rete·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 Ai·rete·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 Ai·rete·rag and Scrivener MCP free or paid?

Ai·rete·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?

Ai·rete·rag lists 8 tools with 0 views and 0 GitHub stars. Scrivener MCP lists 6 tools with 16 views and 61 GitHub stars.

Can I use both Ai·rete·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

Ai·rete·rag vs Scrivener MCP

In-depth architectural comparison of the Ai·rete·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

Ai·rete·rag

Knowledge & Memory · Local stdio

Quality: 49/100 (Fair) | Auth: No auth required

Scrivener MCP

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Ai·rete·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 Ai·rete·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).
Primary tools included: decide, list_rules, get_rule_source.

Explore Ai·rete·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	Ai·rete·rag Knowledge & Memory	Scrivener MCP writerslogic Knowledge & Memory
Summary	Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.	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

Ai·rete·rag Tools (8)

decide

Make a decision in a domain — structured facts and/or free text, with optional Pattern 01 (rules scope retrieval) and Pattern 02 (retrieval into working memory)

list_rules

Inspect a domain's rules — conditions, verdicts, salience, overlaps

get_rule_source

Fetch a domain's rule set as editable YAML

import_policy_rules

Turn a written policy document into draft rules, each citing the sentence it encodes (nothing is saved — review, then `put_rules`)

put_rules

Create or replace a domain's rule set from YAML (dry_run to validate)

ingest_text

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).

Ai·rete·rag Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "ai-rete-rag-2": {
      "command": "uvx",
      "args": [
        "ai-rete-rag-mcp"
      ]
    }
  }
}

Scrivener MCP Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

Ai·rete·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 Ai·rete·rag when you need capabilities focused on knowledge & memory and Scrivener MCP when you require tools for knowledge & memory.

More alternatives to Ai·rete·rag More alternatives to Scrivener MCP Knowledge & Memory category hub