What is the key difference between Cite Caddy and Agentage Memory?

Cite Caddy belongs to the Knowledge & Memory category with local stdio execution, while Agentage Memory belongs to the Knowledge & Memory category with cloud HTTP/SSE execution.

How do I install Cite Caddy or Agentage Memory 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 Cite Caddy and Agentage Memory free or paid?

Cite Caddy operates under a Free / Open Source model (No auth required). Agentage Memory operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Cite Caddy lists 0 tools with 0 views and 0 GitHub stars. Agentage Memory lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Cite Caddy and Agentage Memory 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.

How do I install Cite Caddy or Agentage Memory in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Cite Caddy and Agentage Memory free to use, or do they require API keys?

Cite Caddy is listed under a Free / Open Source model with No auth required . Agentage Memory operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Cite Caddy and Agentage Memory at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both cite-caddy and agentage-memory as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Cite Caddy has a Quality Score of 25 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Agentage Memory holds a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Cite Caddy vs Agentage Memory

In-depth architectural comparison of the Cite Caddy and Agentage Memory 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

Cite Caddy

Knowledge & Memory · Local stdio

Quality: 25/100 (Emerging) | Auth: No auth required

Agentage Memory

Knowledge & Memory · Remote HTTP/SSE

Quality: 42/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Cite Caddy if you need specialized Knowledge & Memory tools running via a local process. Choose Agentage Memory 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 Cite Caddy 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 Cite Caddy Details

Choose Agentage Memory 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 Agentage Memory Details

Feature & Specification Comparison

Specification	C Cite Caddy Knowledge & Memory	A Agentage Memory Knowledge & Memory
Summary	Remote MCP server for full read/write access to a Zotero library	One memory, every AI. A shared, user-owned markdown memory your AI clients read and write over MCP.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Cite Caddy Tools (0)

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

Agentage Memory 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).

Cite Caddy Configuration

mcpServers (Claude Desktop / Cursor)

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

Agentage Memory Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "agentage-memory": {
      "url": "https://agentage.io"
    }
  }
}

Frequently Asked Questions

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

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