Nlqdb — analytical memory for AI agents vs Sqlglass

In-depth architectural comparison of the Nlqdb — analytical memory for AI agents and Sqlglass 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 Nlqdb — analytical memory for AI agents when:

• You need dedicated capabilities in the Databases domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Nlqdb — analytical memory for AI agents Details

S

Choose Sqlglass when:

• You need dedicated capabilities in the Databases domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Sqlglass Details

Feature & Specification Comparison

Specification	Nlqdb — analytical memory for AI agents Databases	S Sqlglass Databases
Summary	Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.	SQL Server / Azure SQL for agents: real schema, lint, read-only runs, plans, write previews.
Category & Scope	Databases	Databases

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": {
    "nlqdb-analytical-memory-for-ai-agents": {
      "command": "npx",
      "args": [
        "-y",
        "@nlqdb/mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "sqlglass": {
      "command": "npx",
      "args": [
        "-y",
        "sqlglass"
      ]
    }
  }
}

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