Vectr vs Scrivener MCP

In-depth architectural comparison of the Vectr 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.

Which MCP Server Should You Choose?

Choose Vectr 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: AST-aware code chunking for semantic retrieval, Hybrid dense embeddings combined with BM25 ranking, Symbol and call graph for precise locate and trace operations.

Explore Vectr 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.

Feature & Specification Comparison

Specification	Vectr swapnanil Knowledge & Memory	Scrivener MCP writerslogic Knowledge & Memory
Summary	Semantic codebase search + persistent working memory for AI code editors. Hybrid dense + BM25 search over AST-aware chunks, a symbol graph for locate/trace, and typed notes that survive context compaction and session restarts. Local embeddings, zero config, no API key. pip install vectr	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

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).

{
  "mcpServers": {
    "swapnanil-vectr": {
      "command": "uvx",
      "args": [
        "vectr"
      ]
    }
  }
}

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

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