cortex-mcp

cortex-mcp is a Model Context Protocol (MCP) server for Cortex, the observable analysis and active-response engine from StrangeBee/TheHive Project. It exists because analysts already drive Cortex by hand through its web UI or raw REST API, and an AI client can do that work faster: detonate an indicator across every applicable analyzer, aggregate the taxonomy verdicts, and pull artifacts without anyone clicking through a dozen jobs. It differs from a generic HTTP bridge by exposing Cortex's real domain model as 31 typed MCP tools, auto-detecting observable data types, fanning out analysis with a cap, and gating every destructive action (responders, deletes, file reads) behind explicit confirmation.

What it does

cortex-mcp connects an MCP-capable AI client (Claude Desktop, Claude Code, Codex CLI, OpenClaw, Hermes, and others) to a running Cortex instance so the model can perform real observable analysis and threat-intelligence enrichment. Cortex is the analyzer/responder engine in the StrangeBee and TheHive SOAR stack: it runs analyzers against observables (IPs, domains, URLs, file hashes, emails, files) and executes responders against TheHive entities. This server speaks Cortex's REST API and projects the full pipeline as MCP tools, resources, and prompts, so an agent can browse analyzer definitions, enable and configure them, submit observables, wait for job reports, extract IOC artifacts, and triage alerts. Auto-detection classifies an observable's data type before analysis, bulk analysis fans out across applicable analyzers and aggregates the taxonomy results, and superadmin tools cover organization and user/API-key management. The result is conversational observable analysis: ask "what does Cortex think of 185.220.101.42?" and get an aggregated multi-analyzer verdict back.

Related MCP server: misp-mcp

Prerequisites

• Node.js 20 or later

• A running Cortex instance (v3.x recommended)

• A Cortex API key with appropriate permissions

Installation from source

If you prefer to run from a checkout instead of npx:

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

Then point your client at the built binary (see the per-client recipes below).

Try it (copy-paste MCP client config)

Add this to your MCP client config (this example is Claude Desktop's claude_desktop_config.json; the same command/args/env shape works for Claude Code, Codex, OpenClaw, and Hermes). It runs the published npm package directly with npx, no clone or build required:

{
  "mcpServers": {
    "cortex": {
      "command": "npx",
      "args": ["-y", "thehive-cortex-mcp"],
      "env": {
        "CORTEX_URL": "http://cortex.example.com:9001",
        "CORTEX_API_KEY": "your-org-admin-key",
        "CORTEX_SUPERADMIN_KEY": "your-superadmin-key"
      }
    }
  }
}

The npm package is named thehive-cortex-mcp; it installs a cortex-mcp binary. Set CORTEX_SUPERADMIN_KEY only if you want the organization and user management tools.

Usage

Claude Code

claude mcp add cortex \
  --env CORTEX_URL=http://cortex.example.com:9001 \
  --env CORTEX_API_KEY=your-org-admin-key \
  --env CORTEX_SUPERADMIN_KEY=your-superadmin-key \
  -- npx -y thehive-cortex-mcp

Add --scope user to make it available from any directory instead of only the current project.

OpenClaw

openclaw mcp set cortex '{
  "command": "npx",
  "args": ["-y", "thehive-cortex-mcp"],
  "env": {
    "CORTEX_URL": "http://cortex.example.com:9001",
    "CORTEX_API_KEY": "your-org-admin-key",
    "CORTEX_SUPERADMIN_KEY": "your-superadmin-key"
  }
}'

If you are running from a source checkout instead, point command/args at the built dist/index.js:

openclaw mcp set cortex '{
  "command": "node",
  "args": ["/absolute/path/to/cortex-mcp/dist/index.js"],
  "env": {
    "CORTEX_URL": "http://cortex.example.com:9001",
    "CORTEX_API_KEY": "your-org-admin-key",
    "CORTEX_SUPERADMIN_KEY": "your-superadmin-key"
  }
}'

Then restart the OpenClaw gateway so the new server is picked up:

systemctl --user restart openclaw-gateway
openclaw mcp list   # confirm "cortex" is registered

Hermes Agent

Hermes Agent reads MCP config from ~/.hermes/config.yaml under the mcp_servers key. Add an entry:

mcp_servers:
  cortex:
    command: "npx"
    args: ["-y", "thehive-cortex-mcp"]
    env:
      CORTEX_URL: "http://cortex.example.com:9001"
      CORTEX_API_KEY: "your-org-admin-key"
      CORTEX_SUPERADMIN_KEY: "your-superadmin-key"

Then reload MCP from inside a Hermes session:

/reload-mcp

Codex CLI

Codex CLI registers MCP servers via codex mcp add:

codex mcp add cortex \
  --env CORTEX_URL=http://cortex.example.com:9001 \
  --env CORTEX_API_KEY=your-org-admin-key \
  --env CORTEX_SUPERADMIN_KEY=your-superadmin-key \
  -- npx -y thehive-cortex-mcp

Codex writes the entry to ~/.codex/config.toml under [mcp_servers.cortex]. Verify with:

codex mcp list

Standalone

export CORTEX_URL=http://cortex.example.com:9001
export CORTEX_API_KEY=your-org-admin-key
npx -y thehive-cortex-mcp     # or `npm start` from a source checkout

MCP Tools (31)

Status

Analyzer Tools

Analyzer Definition Tools

Job Tools

Responder Tools

Responder Definition Tools

Bulk Operations

Organization Management (superadmin)

User Management (superadmin)

MCP Resources (4)

MCP Prompts (4)

Configuration

Security and safety gates

This server can trigger real-world actions and submit observables to third-party services, so several capabilities are secured by default:

• Arbitrary file reads are blocked. cortex_run_analyzer_file only reads files inside CORTEX_FILE_BASE_DIR (realpath-confined to defeat symlink/.. escapes). With no base dir configured, path-based reads are refused; use fileBase64 to submit content explicitly.

• Responders are gated. cortex_run_responder requires both CORTEX_ALLOW_DESTRUCTIVE=1 in the environment and confirm=true in the call.

• Single-item destructive tools require confirmation. cortex_delete_job and cortex_disable_analyzer require confirm=true.

• Bulk analysis is conservative. cortex_analyze_observable does not fan out to every analyzer by default. Pass an explicit analyzers allowlist, or set fanOut=true to run all applicable analyzers (capped by CORTEX_MAX_FANOUT).

• SSL verification is scoped. Disabling CORTEX_VERIFY_SSL relaxes TLS only for Cortex connections, never for the whole Node process.

Examples

Set up analyzers from scratch

1. Use cortex_list_analyzer_definitions with freeOnly=true to find analyzers
   that need no API keys.
2. Use cortex_enable_analyzer to enable "Abuse_Finder_3_0" with empty config.
3. Use cortex_analyze_observable with data "8.8.8.8" and fanOut=true to run
   all applicable analyzers (or pass analyzers ["Abuse_Finder"] to scope it).

Auto-detect observable type

Use cortex_analyze_observable with data "185.220.101.42" and fanOut=true
(no dataType needed - auto-detects as IP). Or pass an `analyzers` allowlist
to limit which analyzers run.

Clean up old failed jobs

Use cortex_cleanup_jobs with status "Failure", dryRun true to preview,
then dryRun false to delete.

Analyze a file

Set CORTEX_FILE_BASE_DIR=/srv/cortex-uploads in the server environment, then:
Use cortex_run_analyzer_file with analyzerId "Yara_3_0",
filePath "/srv/cortex-uploads/suspicious.exe" to scan with YARA rules.
(Paths outside CORTEX_FILE_BASE_DIR are refused; alternatively pass fileBase64.)

Manage API keys

Use cortex_renew_user_key with userId "analyst1" to rotate their API key.

Triage a security alert

Use the triage-alert prompt with alertDescription "Suspicious outbound traffic
detected" and observables "185.220.101.42, evil.example.com, 44d88612fea8a8f36de82e1278abb02f"

Supported Data Types

Deployment

Proxmox LXC

bash -c "$(wget -qLO - https://raw.githubusercontent.com/lidless-labs/cortex-mcp/main/scripts/proxmox_install.sh)"

Why not something else?

• The Cortex web UI is built for one analyst clicking through jobs by hand. cortex-mcp puts the same engine behind an AI client, so analysis, taxonomy aggregation, and artifact extraction happen conversationally instead of through a dozen page loads.

• A raw REST wrapper or generic HTTP MCP bridge gives a model an untyped endpoint and no domain knowledge. cortex-mcp models analyzers, responders, jobs, definitions, organizations, and users as 31 typed tools with auto data-type detection, capped fan-out, and built-in safety gates, so the agent works in Cortex's vocabulary rather than reconstructing the API from scratch.

• Wiring Cortex into a SOAR runbook or n8n flow is great for fixed, pre-authored pipelines. This server is for the open-ended path: ad hoc enrichment, investigation, and triage where the analyst (or the agent) decides the next step as results come in.

• thehive-mcp (the companion server) drives case and alert management in TheHive. cortex-mcp is the analysis-and-response layer; the two are complementary, not substitutes.

What cortex-mcp is not

• It is not a Cortex replacement or a reimplementation of analyzers. It calls a Cortex instance you already run; Cortex still does the analysis.

• It is not a SIEM, a case manager, or a TheHive client. Case and alert workflows belong to TheHive (see thehive-mcp).

• It is not an autonomous responder. Destructive actions (responders, job deletion, file reads by path) are off or confirmation-gated by default and never fire silently.

• It is not a hosted service. It runs locally as a stdio MCP server next to your client; nothing is sent anywhere except the Cortex instance you configure.

Testing

npm test              # Unit tests
npm run test:watch    # Watch mode
npm run lint          # Type check

# Integration tests (requires live Cortex instance)
CORTEX_URL=http://cortex.example.com:9001 \
CORTEX_API_KEY=your-key \
CORTEX_SUPERADMIN_KEY=your-superadmin-key \
npx vitest run tests/integration.test.ts

Project Structure

cortex-mcp/
  src/
    index.ts                  # MCP server entry point
    config.ts                 # Environment config + validation
    client.ts                 # Cortex REST API client (full surface)
    types.ts                  # Cortex API type definitions
    resources.ts              # MCP resources (4)
    prompts.ts                # MCP prompts (4)
    tools/
      analyzers.ts            # Analyzer tools (list, get, run, run-by-name)
      analyzer-definitions.ts # Definition browsing, enable, disable
      jobs.ts                 # Job management + cleanup
      responders.ts           # Responder tools (list, run)
      responder-definitions.ts # Definition browsing, enable, disable
      bulk.ts                 # Bulk analysis with auto-detect
      status.ts               # Health/version check
      organizations.ts        # Org CRUD (superadmin)
      users.ts                # User CRUD + key management (superadmin)
  tests/
    client.test.ts            # API client unit tests
    tools.test.ts             # Tool handler unit tests
    integration.test.ts       # Live instance integration tests
  scripts/
    proxmox_install.sh        # Proxmox LXC deployment script

Contributing

Issues and pull requests are welcome. See CONTRIBUTING.md for the contribution path and SECURITY.md for reporting vulnerabilities. By participating you agree to the Code of Conduct.

License

MIT. See LICENSE.