What is the key difference between Memra and Archetypal Ai?

Memra belongs to the Knowledge & Memory category with cloud HTTP/SSE execution, while Archetypal Ai belongs to the Knowledge & Memory category with local stdio execution.

How do I install Memra or Archetypal Ai 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 Memra and Archetypal Ai free or paid?

Memra operates under a Free / Open Source model (No auth required). Archetypal Ai operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Memra lists 0 tools with 0 views and 0 GitHub stars. Archetypal Ai lists 0 tools with 1 views and 0 GitHub stars.

Can I use both Memra and Archetypal Ai 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 Memra or Archetypal Ai 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 Memra and Archetypal Ai free to use, or do they require API keys?

Memra is listed under a Free / Open Source model with No auth required . Archetypal Ai 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 Memra and Archetypal Ai at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both memra and archetypal-ai 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, Memra has a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Archetypal Ai holds a Quality Score of 27 /100 ( Emerging ) with 1 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Memra vs Archetypal Ai

In-depth architectural comparison of the Memra and Archetypal Ai 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

Memra

Knowledge & Memory · Remote HTTP/SSE

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

Archetypal Ai

Knowledge & Memory · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Memra if you need specialized Knowledge & Memory tools running via a hosted cloud SSE transport. Choose Archetypal Ai 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 Memra 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 Memra Details

Choose Archetypal Ai 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 Archetypal Ai Details

Feature & Specification Comparison

Specification	M Memra Knowledge & Memory	A Archetypal Ai Knowledge & Memory
Summary	Persistent memory for AI agents. EU-hosted, privacy-first, hybrid recall, contradiction detection.	Persistent memory for AI agents. recall, remember, checkpoint — soul preservation.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Memra Tools (0)

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

Archetypal Ai 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).

Memra Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "memra": {
      "url": "https://usememra.com"
    }
  }
}

Archetypal Ai Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

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