What is the key difference between Liminary and Montycat MCP — Shared AI Memory?

Liminary belongs to the Knowledge & Memory category with cloud HTTP/SSE execution, while Montycat MCP — Shared AI Memory belongs to the Knowledge & Memory category with local stdio execution.

How do I install Liminary or Montycat MCP — Shared AI 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 Liminary and Montycat MCP — Shared AI Memory free or paid?

Liminary operates under a Free / Open Source model (No auth required). Montycat MCP — Shared AI Memory operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Liminary lists 0 tools with 0 views and 0 GitHub stars. Montycat MCP — Shared AI Memory lists 0 tools with 0 views and 35 GitHub stars.

Can I use both Liminary and Montycat MCP — Shared AI 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.

Side-by-Side Model Context Protocol Comparison

Liminary vs Montycat MCP — Shared AI Memory

In-depth architectural comparison of the Liminary and Montycat MCP — Shared AI 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

Liminary

Knowledge & Memory · Remote HTTP/SSE

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

Montycat MCP — Shared AI Memory

Knowledge & Memory · Local stdio

Quality: 44/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Liminary if you need specialized Knowledge & Memory tools running via a hosted cloud SSE transport. Choose Montycat MCP — Shared AI Memory if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Liminary 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 Liminary Details

Choose Montycat MCP — Shared AI Memory 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 Montycat MCP — Shared AI Memory Details

Feature & Specification Comparison

Specification	L Liminary Knowledge & Memory	M Montycat MCP — Shared AI Memory Knowledge & Memory
Summary	Your AI's memory for what you actually know: recall across your documents, notes, and meetings	One shared, persistent memory across AI agents and systems, with semantic recall and live updates.
Category & Scope	Knowledge & Memory	Knowledge & Memory

Tools & Capabilities Breakdown

Liminary Tools (0)

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

Montycat MCP — Shared AI 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).

Liminary Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "liminary": {
      "url": "https://liminary.io"
    }
  }
}

Montycat MCP — Shared AI Memory Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "montycat-mcp-shared-ai-memory": {
      "command": "uvx",
      "args": [
        "montycat-mcp"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to Liminary More alternatives to Montycat MCP — Shared AI Memory Knowledge & Memory category hub