What is the key difference between Computeback and Kage?

Computeback belongs to the Knowledge & Memory category with local stdio execution, while Kage belongs to the Knowledge & Memory category with local stdio execution.

How do I install Computeback or Kage 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 Computeback and Kage free or paid?

Computeback operates under a Free / Open Source model (No auth required). Kage operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Computeback lists 16 tools with 0 views and 0 GitHub stars. Kage lists 6 tools with 3 views and 32 GitHub stars.

Can I use both Computeback and Kage 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 Computeback or Kage 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 Computeback and Kage free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both computeback and kage-core-kage 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, Computeback has a Quality Score of 48 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Kage holds a Quality Score of 61 /100 ( Good ) with 3 views, 0 installs, and 32 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Computeback vs Kage

In-depth architectural comparison of the Computeback and Kage 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

Computeback

Knowledge & Memory · Local stdio

Quality: 48/100 (Fair) | Auth: No auth required

Kage

Knowledge & Memory · Local stdio

Quality: 61/100 (Good) | Auth: No auth required

Verdict Summary: Choose Computeback if you need specialized Knowledge & Memory tools running via a local process. Choose Kage 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 Computeback 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).
Primary tools included: search_products, get_product, get_categories.

Explore Computeback Details

Choose Kage 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).
Primary tools included: Git-native memory packets, Open Knowledge Format bundles, Deterministic citation verification.

Explore Kage Details

Feature & Specification Comparison

Specification	Computeback Knowledge & Memory	Kage kage-core Knowledge & Memory
Summary	Agent marketplace: earn $NOMD on B2B work, spend on compute/voice/memory capabilities.	Verified, git-native memory for coding agents. Memory is plain JSON packets committed in your repo, each checked against the code it cites — hallucinated citations rejected at write, stale or changed memory withheld at recall, plus diff-time stale-catch. Local-only (BM25 + vectors), no account, no API key. npx -y @kage-core/kage-graph-mcp install
Category & Scope	Knowledge & Memory

Tools & Capabilities Breakdown

Computeback Tools (16)

search_products

filter / search the catalog

get_product

full product info ($NOMD price, vendor, fulfillment)

get_categories

list 25+ capability categories

check_balance

agent's $NOMD balance on Base L2

create_order

purchase a product (burns $NOMD)

get_orders

agent's order history

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).

Computeback Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "computeback": {
      "command": "npx",
      "args": [
        "-y",
        "@autonomad1/computeback-mcp"
      ]
    }
  }
}

Kage Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "kage-core-kage": {
      "command": "npx",
      "args": [
        "-y",
        "@kage-core/kage-graph-mcp",
        "install"
      ]
    }
  }
}

Frequently Asked Questions

Computeback is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Kage belongs to Knowledge & Memory using local stdio subprocess. Select Computeback when you need capabilities focused on knowledge & memory and Kage when you require tools for knowledge & memory.

More alternatives to Computeback More alternatives to Kage Knowledge & Memory category hub