What is the key difference between Throughline and Mcp Memento?

Throughline belongs to the Knowledge & Memory category with cloud HTTP/SSE execution, while Mcp Memento belongs to the Knowledge & Memory category with local stdio execution.

How do I install Throughline or Mcp Memento 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 Throughline and Mcp Memento free or paid?

Throughline operates under a Free / Open Source model (No auth required). Mcp Memento operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Throughline lists 0 tools with 0 views and 0 GitHub stars. Mcp Memento lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Throughline and Mcp Memento 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 Throughline or Mcp Memento 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 Throughline and Mcp Memento free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both throughline and mcp-memento 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, Throughline has a Quality Score of 45 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Mcp Memento holds a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Throughline vs Mcp Memento

In-depth architectural comparison of the Throughline and Mcp Memento 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

Throughline

Knowledge & Memory · Remote HTTP/SSE

Quality: 45/100 (Fair) | Auth: No auth required

Mcp Memento

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Throughline if you need specialized Knowledge & Memory tools running via a hosted cloud SSE transport. Choose Mcp Memento 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 Throughline 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 Throughline Details

Choose Mcp Memento 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 Mcp Memento Details

Feature & Specification Comparison

Specification	T Throughline Knowledge & Memory	M Mcp Memento Knowledge & Memory
Summary	A persistent AI self you own — memory, persona, judgment — portable across all your AI hosts.	An MCP server that provides persistent memory and context management across sessions
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Throughline Tools (0)

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

Mcp Memento 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).

Throughline Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "throughline": {
      "url": "https://getthroughline.ai"
    }
  }
}

Mcp Memento Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

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