What is the key difference between BanditDB and DecRec?

BanditDB belongs to the Knowledge & Memory category with local stdio execution, while DecRec belongs to the Knowledge & Memory category with cloud HTTP/SSE execution.

How do I install BanditDB or DecRec in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are BanditDB and DecRec free or paid?

BanditDB operates under a Free / Open Source model (No auth required). DecRec operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

BanditDB lists 0 tools with 0 views and 0 GitHub stars. DecRec lists 0 tools with 0 views and 1 GitHub stars.

Can I use both BanditDB and DecRec together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

BanditDB vs DecRec

In-depth architectural comparison of the BanditDB and DecRec 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.

At a Glance & Executive Verdict

BanditDB

Knowledge & Memory · Local stdio

Quality: 40/100 (Fair) | Auth: No auth required

DecRec

Knowledge & Memory · Remote HTTP/SSE

Quality: 40/100 (Fair) | Auth: No auth required

Verdict Summary: Choose BanditDB if you need specialized Knowledge & Memory tools running via a local process. Choose DecRec if your workspace requires Knowledge & Memory integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose BanditDB 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).

Explore BanditDB Details

Choose DecRec 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).

Explore DecRec Details

Feature & Specification Comparison

Specification	BanditDB Knowledge & Memory	D DecRec Knowledge & Memory
Summary	Persistent decision memory for agents — learns which action works in which context	Decision memory for AI agents: record, revisit, and resolve consequential choices.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

BanditDB Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

DecRec Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

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).

BanditDB Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "banditdb": {
      "command": "uvx",
      "args": [
        "banditdb-python"
      ]
    }
  }
}

DecRec Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "decrec": {
      "url": "https://decrec.io/#demo"
    }
  }
}

Frequently Asked Questions

BanditDB is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, DecRec belongs to Knowledge & Memory using remote streaming HTTP/SSE transport. Select BanditDB when you need capabilities focused on knowledge & memory and DecRec when you require tools for knowledge & memory.

More alternatives to BanditDB More alternatives to DecRec Knowledge & Memory category hub