Return on Security Intelligence MCP Server

Connect your AI assistant to comprehensive cybersecurity market intelligence. Access funding data, competitive analysis, and market trends through the Model Context Protocol.

Getting Started

Server Configuration

Server Name: "Return on Security Intelligence"
Endpoint: "https://intel.returnonsecurity.com/mcp"
Protocol: "JSON-RPC 2.0"
Authentication: "Bearer Token (API Key Required)"

Resources provide static context that AI models can reference without making function calls. All resources are updated daily and cached for fast access.

Prompts are pre-defined analysis frameworks that guide AI models through complex cybersecurity intelligence tasks. Use these templates to get structured, comprehensive analyses.

Tools are functions that AI models can call to retrieve real-time data and perform dynamic analysis. Each tool accepts natural language queries and returns structured intelligence.

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Natural language funding query"
    }
  },
  "required": ["query"]
}

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Market segment or intelligence request"
    }
  },
  "required": ["query"]
}

MCP Client Integration

Connect this MCP server to your AI assistant using standard MCP client libraries.

{
  "mcpServers": {
    "ros-intelligence": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/server-remote",
        "https://intel.returnonsecurity.com/mcp"
      ],
      "env": {
        "API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

{
  "servers": {
    "ros-intelligence": {
      "type": "remote",
      "url": "https://intel.returnonsecurity.com/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Authentication

The MCP server requires authentication for all requests. You have two options for connecting to ROS Intelligence:

Method 1: Claude.ai Web (Recommended)

Method 2: Claude Desktop (Advanced)

For Claude Desktop users, you'll need to set up a local proxy server:

{
  "mcpServers": {
    "ros-intelligence": {
      "command": "npx",
      "args": ["@returnonsecurity/mcp-client"],
      "env": {
        "ROS_API_KEY": "sk_live_your_api_key_here"
      }
    }
  }
}

Example Queries

Once connected, your AI assistant can answer complex cybersecurity market questions:

Troubleshooting

Frequently Asked Questions