Moxie Docs MCP vs Memkeeper

In-depth architectural comparison of the Moxie Docs MCP and Memkeeper 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 Moxie Docs 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 (Freemium).
• Primary tools included: moxie.get_ai_context, moxie.get_doc_impact, moxie.get_api_context.

Explore Moxie Docs MCP Details

Choose Memkeeper when:

• You need dedicated capabilities in the Knowledge & Memory domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: Single-file SQLite storage with atomic writes, Hybrid BM25/full-text search with optional ONNX embeddings, Cross-encoder reranker for improved retrieval precision.

Explore Memkeeper Details

Feature & Specification Comparison

Specification	Moxie Docs MCP FeaturedVerifiedKnowledge & Memory	Memkeeper teflon07 Knowledge & Memory
Summary	MCP & Agent Skills for Automated Documentation, and codebase conventions + context	Local-first memory for AI agents: a single self-contained Rust binary over one SQLite file. Hybrid BM25/FTS + on-device ONNX embeddings + cross-encoder rerank; abstains instead of returning a confident wrong memory. No server, no API key, zero marginal cost. memkeeper mcp

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": {
    "moxie-docs-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "moxie-docs"
      ]
    }
  }
}

{
  "mcpServers": {
    "teflon07-memkeeper": {
      "url": "https://api.openai.com/v1/embeddings"
    }
  }
}

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