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cortex-mcp

An MCP server for the Cortex observable analysis and active response engine. It enables LLMs to automate security investigations by running analyzers on observables like IPs and URLs and executing automated response actions.

glama
Updated
Feb 7, 2026

cortex-mcp

TypeScript Node.js MCP License: MIT

An MCP (Model Context Protocol) server for Cortex - the observable analysis and active response engine by StrangeBee/TheHive Project.

Cortex automates the analysis of observables (IPs, URLs, hashes, domains, emails, files) using analyzers and can execute response actions via responders. This MCP server exposes Cortex's full analysis pipeline to LLMs, enabling AI-driven observable enrichment and automated response orchestration.

Features

  • 12 MCP tools covering analyzers, jobs, responders, and bulk operations
  • 2 MCP resources for browsing Cortex state
  • 2 MCP prompts with guided investigation workflows
  • Full TLP/PAP support for data classification
  • Bulk analysis across all applicable analyzers with taxonomy aggregation
  • Structured error handling with meaningful messages

Prerequisites

  • Node.js 20 or later
  • A running Cortex instance (v3.x recommended)
  • A Cortex API key with appropriate permissions

Installation

git clone https://github.com/solomonneas/cortex-mcp.git
cd cortex-mcp
npm install
npm run build

Configuration

Set these environment variables before running the server:

VariableRequiredDefaultDescription
CORTEX_URLYes-Cortex base URL (e.g., https://cortex.example.com:9001)
CORTEX_API_KEYYes-API key for authentication
CORTEX_VERIFY_SSLNotrueSet to false to skip SSL verification

Example .env file:

CORTEX_URL=https://cortex.example.com:9001
CORTEX_API_KEY=your-api-key-here
CORTEX_VERIFY_SSL=true

Usage

With Claude Desktop

Add to your Claude Desktop MCP configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "cortex": {
      "command": "node",
      "args": ["/path/to/cortex-mcp/dist/index.js"],
      "env": {
        "CORTEX_URL": "https://cortex.example.com:9001",
        "CORTEX_API_KEY": "your-api-key-here"
      }
    }
  }
}

Standalone

export CORTEX_URL=https://cortex.example.com:9001
export CORTEX_API_KEY=your-api-key-here
npm start

Development

export CORTEX_URL=https://cortex.example.com:9001
export CORTEX_API_KEY=your-api-key-here
npm run dev

MCP Tools

Analyzer Tools

ToolDescription
cortex_list_analyzersList all enabled analyzers, optionally filtered by data type
cortex_get_analyzerGet details about a specific analyzer by ID
cortex_run_analyzerSubmit an observable to a specific analyzer for analysis
cortex_run_analyzer_by_nameRun an analyzer by name instead of ID (convenience wrapper)

Job Tools

ToolDescription
cortex_get_jobGet the status and details of an analysis job
cortex_get_job_reportGet the full report of a completed analysis job
cortex_wait_and_get_reportWait for a job to complete and return the report
cortex_list_jobsList recent analysis jobs with optional filters
cortex_get_job_artifactsGet artifacts (extracted IOCs) from a completed job

Responder Tools

ToolDescription
cortex_list_respondersList all enabled responders, optionally filtered by data type
cortex_run_responderExecute a responder action against a TheHive entity

Bulk Operations

ToolDescription
cortex_analyze_observableRun ALL applicable analyzers and return aggregated results with taxonomy summary

MCP Resources

URIDescription
cortex://analyzersList of all enabled analyzers with capabilities
cortex://jobs/recentLast 50 analysis jobs

MCP Prompts

PromptDescription
analyze-observableGuided workflow for analyzing an observable through Cortex
investigate-iocDeep investigation workflow for a suspicious IOC

Examples

Analyze an IP address

Use cortex_analyze_observable to check the IP 185.220.101.42
with dataType "ip", tlp 2, pap 2.

The server will submit the IP to all analyzers that support the ip data type (VirusTotal, AbuseIPDB, etc.), wait for results, and return an aggregated report with taxonomy counts:

{
  "observable": { "dataType": "ip", "data": "185.220.101.42" },
  "analyzersRun": 4,
  "summary": {
    "malicious": 2,
    "suspicious": 1,
    "info": 1,
    "safe": 0
  },
  "results": [...]
}

Run a specific analyzer

Use cortex_run_analyzer_by_name with analyzerName "VirusTotal",
dataType "hash", data "44d88612fea8a8f36de82e1278abb02f"

Check job status

Use cortex_get_job with jobId "AWl2d8x1kDx6FO7wxPBn"

Execute a responder

Use cortex_run_responder with responderId "Mailer_1_0",
objectType "case_artifact", objectId "~123456"

Supported Data Types

TypeExamples
ip8.8.8.8, 2001:db8::1
domainexample.com
urlhttps://malware.example.com/payload
fqdnmail.example.com
hashMD5, SHA1, SHA256 hashes
mailuser@example.com
filenamemalware.exe
registryHKLM\Software\Malware
regexpRegular expression patterns
otherAny other observable type

Testing

npm test            # Run all tests
npm run test:watch  # Run in watch mode
npm run lint        # Type check only

Project Structure

cortex-mcp/
  src/
    index.ts              # MCP server entry point
    config.ts             # Environment config + validation
    client.ts             # Cortex REST API client
    types.ts              # Cortex API type definitions
    resources.ts          # MCP resources
    prompts.ts            # MCP prompts
    tools/
      analyzers.ts        # Analyzer tools
      jobs.ts             # Job management tools
      responders.ts       # Responder tools
      bulk.ts             # Bulk operations
  tests/
    client.test.ts        # API client unit tests
    tools.test.ts         # Tool handler unit tests
  package.json
  tsconfig.json
  tsup.config.ts
  vitest.config.ts

License

MIT

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