What is the key difference between ByteRay AI and Shield?

ByteRay AI belongs to the Security category with cloud HTTP/SSE execution, while Shield belongs to the Security category with local stdio execution.

How do I install ByteRay AI or Shield 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 ByteRay AI and Shield free or paid?

ByteRay AI operates under a Free / Open Source model (No auth required). Shield operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

ByteRay AI lists 0 tools with 0 views and 0 GitHub stars. Shield lists 6 tools with 3 views and 6 GitHub stars.

Can I use both ByteRay AI and Shield 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 ByteRay AI or Shield 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 ByteRay AI and Shield free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both byteray-ai and aperionai-shield 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, ByteRay AI has a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Shield holds a Quality Score of 61 /100 ( Good ) with 3 views, 0 installs, and 6 GitHub stars.

Side-by-Side Model Context Protocol Comparison

ByteRay AI vs Shield

In-depth architectural comparison of the ByteRay AI and Shield 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

ByteRay AI

Security · Remote HTTP/SSE

Quality: 42/100 (Fair) | Auth: No auth required

Shield

Security · Local stdio

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

Verdict Summary: Choose ByteRay AI if you need specialized Security tools running via a hosted cloud SSE transport. Choose Shield if your workspace requires Security integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose ByteRay AI when:

You need dedicated capabilities in the Security domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore ByteRay AI Details

Choose Shield when:

You need dedicated capabilities in the Security domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
You have access to required keys: SHIELD_CLOAK_VALUE.
Primary tools included: Intercepts and blocks destructive tool calls with 65+ adaptive rules, Supports local stdio and remote Streamable HTTP MCP servers, TOFU pinning of tool catalogs to prevent supply-chain attacks.

Explore Shield Details

Feature & Specification Comparison

Specification	B ByteRay AI Security	Shield AperionAI Security
Summary	AI-augmented binary vulnerability analysis with 38 MCP tools for taint tracing and zero-day hunting	Local guardrail proxy for AI coding agents. Wraps any MCP server (stdio or Streamable HTTP) and blocks destructive tool calls — DROP TABLE, rm -rf, force-push — before they execute. MCP supply-chain protection: TOFU tool-catalog pinning against rug pulls, plus tool-description and tool-result scanning for tool poisoning and prompt injection. 51 starter rules, approval gates, audit logging. Single binary, Apache-2.0.
Category & Scope	Security

Tools & Capabilities Breakdown

ByteRay AI Tools (0)

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

Shield Tools (6)

Intercepts and blocks destructive tool calls with 65+ adaptive rules

Supports local stdio and remote Streamable HTTP MCP servers

TOFU pinning of tool catalogs to prevent supply-chain attacks

Audit logging and approval gates with optional biometric verification

Reversible secret cloaking to hide credentials from model context

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).

ByteRay AI Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "byteray-ai": {
      "url": "https://byteray.ai"
    }
  }
}

Shield Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "aperionai-shield": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-postgres"
      ],
      "env": {
        "SHIELD_CLOAK_VALUE": "YOUR_SHIELD_CLOAK_VALUE_HERE"
      }
    }
  }
}

Frequently Asked Questions

ByteRay AI is categorized under Security and uses a remote streaming HTTP/SSE transport. In contrast, Shield belongs to Security using local stdio subprocess. Select ByteRay AI when you need capabilities focused on security and Shield when you require tools for security.

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