mallorymcp 0.3.4

Mallory MCP Server — threat intelligence tools for AI agents

Mallory MCP Server

Mallory provides a robust source of cyber and threat intelligence. This MCP server exposes the Mallory API to AI agents via the malloryapi Python client, with tools for vulnerabilities, threat actors, malware, exploits, organizations, attack patterns, breaches, products, advisories, stories, mentions, search, and sources.

Once connected, your AI assistant (Cursor, Claude Desktop, or another MCP client) can look up CVEs, threat actors, malware, and more directly from Mallory — no copy-pasting from the dashboard.

Prerequisites

• Python 3.11 or higher
• A Mallory API key (mallory.ai)

Quick Start

1. Set your API key

Get an API key at mallory.ai and add it to your shell profile (~/.zshrc, ~/.bashrc, etc.):

export MALLORY_API_KEY=your_api_key_here

Reload your shell (or run source ~/.zshrc) so the variable is available.

2. Add to your AI client

Add the server to your MCP client config. Pick one of the options below.

Cursor — add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "Mallory": {
      "command": "uvx",
      "args": ["mallorymcp"]
    }
  }
}

Claude Desktop — add to claude_desktop_config.json:

{
  "mcpServers": {
    "Mallory": {
      "command": "uvx",
      "args": ["mallorymcp"]
    }
  }
}

uvx downloads and runs the package automatically — no install step needed. If you prefer to install it yourself, see Alternative: pip install below.

3. Restart your AI client and start using it

Ask your assistant to query Mallory:

• "Look up CVE-2024-1234 and summarize the risk."
• "List threat actors trending in the last 7 days."
• "Find vulnerabilities that are known to be exploited."
• "Search for intelligence on APT28."
• "What malware is associated with technique T1566?"

The assistant calls the MCP tools automatically — you don't need to invoke tool names yourself.

Note: mallorymcp is an MCP server that communicates via JSON-RPC over stdio. It's designed to be launched by your AI client, not run interactively from a terminal.

Alternative: pip install

If you prefer installing the package rather than using uvx:

pip install mallorymcp

Then reference the command directly in your config:

{
  "mcpServers": {
    "Mallory": {
      "command": "mallorymcp"
    }
  }
}

Configuration

Environment Variable	Required	Description	Default
MALLORY_API_KEY	Yes	Your Mallory API key	—
MALLORY_BASE_URL	No	Override the API base URL	https://api.mallory.ai/v1

Tools

The server exposes the following tools, backed by the Mallory API.

Vulnerabilities (7)

Tool	Description
get_vulnerability	Get a vulnerability by CVE ID or UUID
list_vulnerabilities	List/search vulnerabilities with filters and pagination
list_trending_vulnerabilities	List vulnerabilities trending over 1d/7d/30d
list_exploited_vulnerabilities	List vulnerabilities known to be exploited in the wild
get_vulnerability_detection_signatures	Detection signatures for a CVE
get_vulnerability_exploitations	Exploitation records for a CVE
get_vulnerability_configurations	Affected configurations (CPE) for a CVE

Threat Actors (5)

Tool	Description
get_threat_actor	Get a threat actor by UUID or name
list_threat_actors	List/search threat actors
list_trending_threat_actors	List trending threat actors
list_mentioned_threat_actors	Recent threat actor mentions from intel sources
get_threat_actor_attack_patterns	MITRE ATT&CK patterns for an actor

Malware (5)

Tool	Description
get_malware	Get a malware entity by UUID or name
list_malware	List/search malware
list_trending_malware	List trending malware
get_malware_vulnerabilities	Vulnerabilities linked to a malware
get_malware_attack_patterns	MITRE ATT&CK patterns for a malware

Exploits (2)

Tool	Description
get_exploit	Get an exploit by UUID or identifier
list_exploits	List/search exploits

Organizations (4)

Tool	Description
get_organization	Get an organization by UUID or name
list_organizations	List/search organizations
list_trending_organizations	List trending organizations
get_organization_breaches	Breaches associated with an organization

Attack Patterns (4)

Tool	Description
get_attack_pattern	Get an attack pattern (MITRE ATT&CK technique) by UUID or ID
list_attack_patterns	List/search attack patterns
get_attack_pattern_threat_actors	Threat actors associated with a technique
get_attack_pattern_malware	Malware associated with a technique

Breaches (3)

Tool	Description
get_breach	Get a breach by UUID or identifier
list_breaches	List breaches
get_breach_organizations	Organizations associated with a breach

Products (3)

Tool	Description
get_product	Get a technology product by UUID or name
list_products	List/search technology products
get_product_advisories	Security advisories for a product

Advisories (3)

Tool	Description
get_advisory	Get a technology product advisory by UUID or identifier
list_advisories	List technology product advisories
get_advisory_vulnerabilities	Vulnerabilities associated with an advisory

Stories (3)

Tool	Description
get_story	Get an intelligence story by UUID or identifier
list_stories	List/search intelligence stories
list_story_topics	List available story topics

Mentions (3)

Tool	Description
list_mentions	List recent mentions across entity types
list_mentions_actors	Recent threat actor mentions
list_mentions_vulnerabilities	Recent vulnerability mentions

Search and Sources (2)

Tool	Description
search	Search across all entity types by query string
list_sources	List intelligence sources in the platform

Development

Install from source

git clone https://github.com/malloryai/mallorymcp.git
cd mallorymcp
uv sync
uv run mallorymcp

Lint

uv sync --extra lint
uv run ruff check src/ tests/
uv run ruff format src/ tests/

Project Structure

src/mallorymcp/
├── __init__.py
├── _version.py          # Auto-generated by hatch-vcs from git tags
├── app.py               # Entry point (main, stdio transport)
├── config/              # Env-based config (MALLORY_API_KEY, MALLORY_BASE_URL)
├── decorator/           # API error handling for tools
├── server/              # FastMCP server and tool loader
├── tools/               # Tool modules (one per resource area)
└── utils/               # Serialization, debug

Releasing

1. Tag a release: git tag v0.4.0 && git push --tags
2. Create a GitHub release from the tag
3. GitHub Actions builds and publishes to PyPI via trusted publisher

License

Apache 2.0.