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

Montycat MCP — Shared AI Memory belongs to the Knowledge & Memory category with local stdio execution, while On Board belongs to the Knowledge & Memory category with local stdio execution.

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

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

Which MCP server has more tools and community activity?

Montycat MCP — Shared AI Memory lists 0 tools with 0 views and 35 GitHub stars. On Board lists 0 tools with 0 views and 4 GitHub stars.

Can I use both Montycat MCP — Shared AI Memory and On Board 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

Montycat MCP — Shared AI Memory vs On Board

In-depth architectural comparison of the Montycat MCP — Shared AI Memory and On Board 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

Montycat MCP — Shared AI Memory

Knowledge & Memory · Local stdio

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

On Board

Knowledge & Memory · Local stdio

Quality: 33/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Montycat MCP — Shared AI Memory if you need specialized Knowledge & Memory tools running via a local process. Choose On Board 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 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

Choose On Board 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 On Board Details

Feature & Specification Comparison

Specification	M Montycat MCP — Shared AI Memory Knowledge & Memory	O On Board Knowledge & Memory
Summary	One shared, persistent memory across AI agents and systems, with semantic recall and live updates.	Cross-platform shared memory and ticket coordination for AI agents across MCP clients.
Category & Scope	Knowledge & Memory	Knowledge & Memory

Tools & Capabilities Breakdown

Montycat MCP — Shared AI Memory Tools (0)

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

On Board 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).

Montycat MCP — Shared AI Memory Configuration

mcpServers (Claude Desktop / Cursor)

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

On Board Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

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