What is the key difference between Mcp Vl Msa Rs and Kage?

Mcp Vl Msa Rs 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 Mcp Vl Msa Rs 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 Mcp Vl Msa Rs and Kage free or paid?

Mcp Vl Msa Rs 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?

Mcp Vl Msa Rs lists 11 tools with 0 views and 1 GitHub stars. Kage lists 6 tools with 3 views and 32 GitHub stars.

Can I use both Mcp Vl Msa Rs 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 Mcp Vl Msa Rs 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 Mcp Vl Msa Rs and Kage free to use, or do they require API keys?

Mcp Vl Msa Rs 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 Mcp Vl Msa Rs and Kage at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both mcp-vl-msa-rs 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, Mcp Vl Msa Rs has a Quality Score of 44 /100 ( Fair ) with 0 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

Mcp Vl Msa Rs vs Kage

In-depth architectural comparison of the Mcp Vl Msa Rs 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

Mcp Vl Msa Rs

Knowledge & Memory · Local stdio

Quality: 44/100 (Fair) | Auth: No auth required

Kage

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Mcp Vl Msa Rs 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 Mcp Vl Msa Rs 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: msa_index, msa_search, msa_fetch_doc.

Explore Mcp Vl Msa Rs 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	M Mcp Vl Msa Rs Knowledge & Memory	Kage kage-core Knowledge & Memory
Summary	Searchable agent memory: BM25 corpus recall, original-text injection, remember/forget capsules.	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

Mcp Vl Msa Rs Tools (11)

msa_index

Index a document; existing chunks for `doc_id` are replaced.

msa_search

Top-k chunks, score normalized 0.0–1.0.

msa_fetch_doc

Full original text of a document.

msa_delete

Remove a document and all its chunks.

msa_list_collections

Collections open in the registry.

msa_stats

Per-collection statistics (exact `num_documents` / `total_tokens`).

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).

Mcp Vl Msa Rs Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "mcp-vl-msa-rs": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-vl-msa-rs"
      ]
    }
  }
}

Kage Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

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