AgentModule MCP vs MCP Local Rag

In-depth architectural comparison of the AgentModule MCP and MCP Local Rag 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 AgentModule MCP when:

• You need dedicated capabilities in the Knowledge & Memory domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: API Key required (Freemium).
• Primary tools included: query_knowledge, get_trial_key, check_status.

Explore AgentModule MCP Details

Choose MCP Local 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).
• You have access to required keys: BASE_DIR.
• Primary tools included: sync_start, sync_status, ingest_file.

Explore MCP Local Rag Details

Feature & Specification Comparison

Specification	AgentModule MCP AgentModule Knowledge & Memory	MCP Local Rag shinpr Knowledge & Memory
Summary	Agent-native knowledge infrastructure. Deterministic, vertical-specific knowledge bases engineered for autonomous agent consumption via MCP. Ethics module (22 modules, EU AI Act mapped) included with every membership. Free 24hr ethics trial.	Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.
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": {
    "agentmodule-mcp": {
      "url": "https://api.agent-module.dev/mcp"
    }
  }
}

{
  "mcpServers": {
    "shinpr-mcp-local-rag": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-local-rag"
      ],
      "env": {
        "BASE_DIR": "YOUR_BASE_DIR_HERE"
      }
    }
  }
}

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