Penfield MCP vs Remembra

In-depth architectural comparison of the Penfield MCP and Remembra 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 Penfield MCP when:

• You need dedicated capabilities in the Knowledge & Memory domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: OAuth 2.0 (Free / Open Source).
• Primary tools included: Persistent memory across sessions, Hybrid BM25, vector, and graph search, Knowledge graph with 24 relationship types.

Explore Penfield MCP Details

Choose Remembra when:

• You need dedicated capabilities in the Knowledge & Memory domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (Free / Open Source).
• You have access to required keys: REMEMBRA_URL, REMEMBRA_USER_ID, REMEMBRA_ASYNC_ENRICHMENT.
• Primary tools included: Entity resolution and graph-aware memory recall, PII detection and AES-256-GCM encryption at rest, Verbatim source record preservation with metadata linking.

Feature & Specification Comparison

Specification	Penfield MCP penfieldlabs Knowledge & Memory	Remembra remembra-ai Knowledge & Memory
Summary	Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client.	Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. 100% on LoCoMo benchmark. Self-hosted.
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": {
    "penfieldlabs-penfield-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote"
      ]
    }
  }
}

{
  "mcpServers": {
    "remembra-ai-remembra": {
      "command": "uvx",
      "args": [
        "remembra"
      ],
      "env": {
        "REMEMBRA_URL": "YOUR_REMEMBRA_URL_HERE",
        "REMEMBRA_USER_ID": "YOUR_REMEMBRA_USER_ID_HERE",
        "REMEMBRA_ASYNC_ENRICHMENT": "YOUR_REMEMBRA_ASYNC_ENRICHMENT_HERE"
      }
    }
  }
}

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