What is the key difference between Junê and Memocore?

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

How do I install Junê or Memocore 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 Junê and Memocore free or paid?

Junê operates under a Free / Open Source model (No auth required). Memocore operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Junê lists 0 tools with 0 views and 0 GitHub stars. Memocore lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Junê and Memocore 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 Junê or Memocore 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 Junê and Memocore free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both jun and memocore 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, Junê has a Quality Score of 28 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Memocore holds a Quality Score of 30 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Junê vs Memocore

In-depth architectural comparison of the Junê and Memocore 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

Junê

Knowledge & Memory · Local stdio

Quality: 28/100 (Emerging) | Auth: No auth required

Memocore

Knowledge & Memory · Remote HTTP/SSE

Quality: 30/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Junê if you need specialized Knowledge & Memory tools running via a local process. Choose Memocore 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 Junê 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 Junê Details

Choose Memocore 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 Memocore Details

Feature & Specification Comparison

Specification	J Junê Knowledge & Memory	M Memocore Knowledge & Memory
Summary	Shared, cited knowledge-graph memory for agents — ask, search, and remember against a June endpoint	Shared memory for all your AI agents, your whole team and every MCP client — save, search, recall.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Junê Tools (0)

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

Memocore 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).

Junê Configuration

mcpServers (Claude Desktop / Cursor)

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

Memocore Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "memocore": {
      "url": "https://memocore.ai"
    }
  }
}

Frequently Asked Questions

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

More alternatives to Junê More alternatives to Memocore Knowledge & Memory category hub

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