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  1. Home
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  3. Engram
  4. vs Scrivener MCP
Side-by-Side Model Context Protocol Comparison

Engram vs Scrivener MCP

In-depth architectural comparison of the Engram 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

Engram
Knowledge & Memory · Local stdio
Quality: 59/100 (Good) | Auth: No auth required
Scrivener MCP
Knowledge & Memory · Local stdio
Quality: 61/100 (Good) | Auth: No auth required
Verdict Summary: Choose Engram 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?

Engram logo

Choose Engram 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: engram_remember, engram_recall, engram_ask.
Explore Engram Details
Scrivener MCP logo

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
Engram logo
Engram
tstockham96
Knowledge & Memory
Scrivener MCP logo
Scrivener MCP
writerslogic
Knowledge & Memory
Summary
Category & ScopeKnowledge & MemoryKnowledge & Memory

Tools & Capabilities Breakdown

Engram Tools (17)

engram_remember
Store a memory. Auto-extracts entities and topics.
engram_recall
Recall relevant memories via semantic search.
engram_ask
Ask a question and get a synthesized answer with confidence and sources.
engram_briefing
Structured session briefing — key facts, pending commitments, recent activity.
engram_consolidate
Run consolidation — distills episodes into semantic knowledge, discovers entities, finds contradictions.
engram_surface

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).

Engram Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "tstockham96-engram": {
      "command": "npx",
      "args": [
        "-y",
        "engram-serve"
      ]
    }
  }
}
Scrivener MCP Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "writerslogic-scrivener-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "scrivener-setup"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to EngramMore alternatives to Scrivener MCPKnowledge & Memory category hub

Related MCP Server Comparisons

Popular comparisons with Engram

  • Moxie Docs MCP logoEngram vs Moxie Docs MCP
  • Engram logoEngram vs Engram
  • Codebase Memory MCP logoEngram vs Codebase Memory MCP
  • Hindsight logoEngram vs Hindsight

Popular comparisons with Scrivener MCP

Quality signal
59/100 (Good)
61/100 (Good)
Transport ProtocolLocal Subprocess (stdio)Local Subprocess (stdio)
Auth RequirementNo auth requiredNo auth required
Pricing ModelFree / Open SourceFree / Open Source
Required Env VarsNone requiredNone required
Compatible Clients
Claude DesktopCursorWindsurfClineVS Code
Claude DesktopCursorWindsurfClineVS Code
Install path signalnpx · highnpx · high
Engagement & Health 1 views 0 copies 0 upvotes 46 stars 16 views 12 copies 6 upvotes 52 stars
Verified / OfficialCommunity ListingCommunity Listing
Open full listingView Engram ListingView Scrivener MCP Listing
Proactive memory surfacing — pushes relevant memories based on current context.
engram_alerts
What needs attention right now — pending commitments, stale follow-ups, contradictions.
engram_audit
Cross-reference external content (e.g. CLAUDE.md) against the vault — flags outdated claims.
engram_checkpoint
Save current session context before it is lost (extracts durable memories from a summary).
engram_connect
Create a relationship between two memories in the knowledge graph.
engram_forget
Forget a memory (soft or hard delete).
engram_entities
List all tracked entities with memory counts.
+5 more tools listed on main 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
Moxie Docs MCP logo
Scrivener MCP vs Moxie Docs MCP
  • Basic Memory logoScrivener MCP vs Basic Memory
  • Codebase Memory MCP logoScrivener MCP vs Codebase Memory MCP
  • Memora logoScrivener MCP vs Memora
  • Intelligent agent memory with semantic recall, automatic consolidation, contradiction detection, and bi-temporal knowledge graph. 80% on LOCOMO benchmark using 96% fewer tokens than full-context approaches.
    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