What is the key difference between Robo Cortex and Kage?

Robo Cortex 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 Robo Cortex 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 Robo Cortex and Kage free or paid?

Robo Cortex 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?

Robo Cortex lists 6 tools with 2 views and 1 GitHub stars. Kage lists 6 tools with 3 views and 32 GitHub stars.

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

Robo Cortex 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 Robo Cortex and Kage at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both robotel-limited-robo-cortex 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, Robo Cortex has a Quality Score of 52 /100 ( Good ) with 2 views, 0 installs, and 1 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

Robo Cortex vs Kage

In-depth architectural comparison of the Robo Cortex 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

Robo Cortex

Knowledge & Memory · Local stdio

Quality: 52/100 (Good) | Auth: No auth required

Kage

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Robo Cortex 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 Robo Cortex 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 blob hash-based drift detection, Local SQLite storage with FTS5 search, Evidence-backed memory lifecycle.

Explore Robo Cortex 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	Robo Cortex robotel-limited Knowledge & Memory	Kage kage-core Knowledge & Memory
Summary	Git-aware, evidence-based memory store for AI coding agents. Memories anchored to git blob hashes are automatically flagged for review when linked code changes. pip install robo-cortex[mcp] or on registry.modelcontextprotocol.io	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

Tools & Capabilities Breakdown

Robo Cortex Tools (6)

Git blob hash-based drift detection

Local SQLite storage with FTS5 search

Evidence-backed memory lifecycle

Automatic needs_review status for changed code

Audit trail for status changes

No embeddings, network calls, or API keys by default

Kage Tools (6)

Git-native memory packets

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).

Robo Cortex Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "robotel-limited-robo-cortex": {
      "command": "uvx",
      "args": [
        "robo-cortex"
      ]
    }
  }
}

Kage Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

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