opencti-mcp
MCP server providing comprehensive threat intelligence access to OpenCTI for Claude Code and other MCP clients, with 32 tools for searching and managing threat data.
README
[!IMPORTANT] This repository has been retired. It is no longer maintained.
This package is now part of the AppliedIR/sift-mcp monorepo.
Documentation: appliedir.github.io/aiir
OpenCTI MCP Server
An MCP (Model Context Protocol) server providing comprehensive threat intelligence access to OpenCTI for Claude Code and other MCP clients.
Note: Validate and harden appropriately for your environment before production use.
Installation Options
Option A: As Part of Claude-IR (Recommended)
This MCP is designed as a component of the Claude-IR AI-assisted incident response workstation.
git clone https://github.com/scriptedstatement/claude-ir.git
cd claude-ir
./setup.sh
claude
Benefits of Claude-IR installation:
- Guided setup with component selection
- Pre-configured MCP integration
- Works alongside forensic-rag-mcp (knowledge search) and windows-triage-mcp (file validation)
- Forensic discipline rules and investigation workflows
Note: This MCP requires an OpenCTI instance. See SETUP.md for guidance on connecting to or deploying OpenCTI.
Option B: Standalone Installation
Use standalone when you only need threat intelligence lookups without the full IR workstation.
git clone https://github.com/scriptedstatement/opencti-mcp.git
cd opencti-mcp
# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate
# Install
pip install -e .
# Configure (requires OpenCTI instance - see SETUP.md)
export OPENCTI_TOKEN="your-api-token"
export OPENCTI_URL="http://localhost:8080" # Local Docker
# export OPENCTI_URL="https://opencti.example.com" # Remote/cloud
# Run server
python -m opencti_mcp
For OpenCTI setup guidance: See SETUP.md
Features
Search Operations (32 tools, 28 visible in read-only mode)
| Category | Tools | Description |
|---|---|---|
| Unified Search | search_threat_intel |
Search across all entity types |
| Threats | search_threat_actor, search_campaign |
APT groups, campaigns |
| Arsenal | search_malware, search_tool, search_vulnerability |
Malware, tools, CVEs |
| Techniques | search_attack_pattern, search_course_of_action |
MITRE ATT&CK, mitigations |
| Observations | search_observable, search_sighting |
IOCs, detection events |
| Events | search_incident |
Security incidents |
| Analysis | search_reports, search_grouping, search_note |
Reports, groupings, notes |
| Entities | search_organization, search_sector |
Organizations, industries |
| Locations | search_location |
Countries, regions, cities |
| Infrastructure | search_infrastructure |
C2, hosting, botnets |
Entity Operations
| Tool | Description |
|---|---|
lookup_ioc |
Get full IOC context with relationships |
lookup_hash |
Look up file hash (MD5/SHA1/SHA256) |
get_entity |
Get any entity by ID |
get_relationships |
Get entity relationships |
get_recent_indicators |
Get indicators from last N days |
Write Operations (requires OPENCTI_READ_ONLY=false)
| Tool | Description |
|---|---|
create_indicator |
Create new IOC |
create_note |
Add analyst note to entities |
create_sighting |
Record detection event |
trigger_enrichment |
Trigger VirusTotal/Shodan enrichment |
System Operations
| Tool | Description |
|---|---|
get_health |
Check OpenCTI connectivity |
list_connectors |
List enrichment connectors |
get_network_status |
View adaptive metrics and recommendations |
force_reconnect |
Force reconnection (clears caches, resets circuit breaker) |
get_cache_stats |
View response cache statistics |
Advanced Filtering
All search tools support advanced filtering:
{
"query": "APT29",
"limit": 10,
"offset": 0,
"labels": ["tlp:amber", "apt"],
"confidence_min": 70,
"created_after": "2024-01-01",
"created_before": "2024-12-31"
}
Configuration
Settings are loaded via Config.load() classmethod (config.py) with SecretStr token protection and helper parsers for typed env vars.
Environment Variables
| Variable | Default | Description |
|---|---|---|
OPENCTI_URL |
http://localhost:8080 |
OpenCTI instance URL (use https:// for remote) |
OPENCTI_TOKEN |
- | API token (required) |
OPENCTI_READ_ONLY |
true |
Disable write operations |
OPENCTI_TIMEOUT |
60 |
Request timeout in seconds |
OPENCTI_MAX_RESULTS |
100 |
Maximum results per query |
OPENCTI_MAX_RETRIES |
3 |
Retry attempts for failures |
OPENCTI_RETRY_DELAY |
1.0 |
Initial retry delay (seconds) |
OPENCTI_RETRY_MAX_DELAY |
30.0 |
Maximum retry delay (seconds) |
OPENCTI_SSL_VERIFY |
true |
Verify SSL certificates (set false for self-signed) |
OPENCTI_CIRCUIT_THRESHOLD |
5 |
Failures before circuit opens |
OPENCTI_CIRCUIT_TIMEOUT |
60 |
Seconds before circuit recovery |
OPENCTI_EXTRA_OBSERVABLE_TYPES |
- | Custom observable types (comma-separated) |
OPENCTI_EXTRA_PATTERN_TYPES |
- | Custom pattern types (comma-separated) |
OPENCTI_LOG_FORMAT |
json |
Log format: "json" or "text" |
Feature Flags
Control optional features via environment variables (prefix: FF_):
| Variable | Default | Description |
|---|---|---|
FF_STARTUP_VALIDATION |
true |
Test API connectivity on server start |
FF_RESPONSE_CACHING |
false |
Cache search results (reduces API calls) |
FF_GRACEFUL_DEGRADATION |
true |
Return cached results when service unavailable |
FF_NEGATIVE_CACHING |
true |
Cache "not found" results |
Token Configuration
Option 1: Environment variable (recommended for production)
export OPENCTI_TOKEN="your-api-token"
Option 2: Token file
mkdir -p ~/.config/opencti-mcp
echo "your-api-token" > ~/.config/opencti-mcp/token
chmod 600 ~/.config/opencti-mcp/token
Option 3: .env file (development)
OPENCTI_TOKEN=your-api-token
Custom Types for Extended OpenCTI
If your OpenCTI instance has custom observable types or pattern types (e.g., proprietary IOC formats, additional detection languages), configure them via environment variables:
# Add custom observable types (case-sensitive, comma-separated)
export OPENCTI_EXTRA_OBSERVABLE_TYPES="Internal-Host,Cloud-Resource,Custom-IOC"
# Add custom pattern types (case-insensitive, comma-separated)
export OPENCTI_EXTRA_PATTERN_TYPES="osquery,kql,custom-sig"
These extend the built-in allow-lists without removing standard STIX types.
Claude Code Configuration
Add to your project-local .mcp.json (or see the parent claude-ir project for automated setup):
{
"mcpServers": {
"opencti": {
"command": "/path/to/venv/bin/python",
"args": ["-m", "opencti_mcp"],
"cwd": "/path/to/opencti-mcp",
"env": {
"PYTHONPATH": "/path/to/opencti-mcp/src",
"OPENCTI_TOKEN": "your-api-token",
"OPENCTI_URL": "http://localhost:8080",
"OPENCTI_READ_ONLY": "true",
"OPENCTI_SSL_VERIFY": "true"
}
}
}
}
Project Structure
opencti-mcp/
├── src/opencti_mcp/
│ ├── __init__.py # Package exports
│ ├── __main__.py # Entry point (with startup validation)
│ ├── server.py # MCP server (32 tools)
│ ├── client.py # OpenCTI API client (with caching)
│ ├── config.py # Configuration management
│ ├── validation.py # Input validation
│ ├── errors.py # Error hierarchy
│ ├── logging.py # Structured logging
│ ├── adaptive.py # Network metrics
│ ├── cache.py # TTL-based response caching
│ └── feature_flags.py # Feature flag management
├── tests/ # Test suite (1530 tests)
├── docs/ # Documentation
├── README.md # This file
├── CLAUDE.md # Development guide
├── IMPLEMENTATION.md # Technical architecture
└── pyproject.toml # Package configuration
Development
Run Tests
# Install dev dependencies
pip install -e ".[dev]"
# Run all tests
pytest
# With coverage
pytest --cov=opencti_mcp --cov-report=html
# Type checking
mypy src/opencti_mcp
Test with MCP Inspector
npx @anthropic/mcp-inspector python -m opencti_mcp
Key Commands
# Run MCP server
python -m opencti_mcp
# Test connection (original CLI)
python opencti_query.py "APT29" --type threat_actor
# Quick health check
python -c "from opencti_mcp import OpenCTIClient, Config; c = OpenCTIClient(Config.load()); print('OK' if c.is_available() else 'FAIL')"
Production Considerations
Local Docker vs Remote/Cloud
The default OPENCTI_URL=http://localhost:8080 matches OpenCTI's standard Docker deployment, where the platform serves HTTP on port 8080. This is correct for local instances — traffic never leaves the machine.
For remote or cloud instances, use HTTPS. OpenCTI supports TLS either natively (APP__HTTPS_CERT__* env vars) or via a reverse proxy (Nginx, Caddy, Traefik) — the reverse proxy approach is more common in production.
Recommended Settings for Remote/Cloud Instances
export OPENCTI_URL=https://opencti.example.com # HTTPS for remote
export OPENCTI_TIMEOUT=120 # Higher for cloud (default 60 may be tight for complex queries)
export OPENCTI_MAX_RETRIES=3 # Retry on transient failures
export OPENCTI_SSL_VERIFY=true # Always for production (false only for self-signed certs)
export OPENCTI_READ_ONLY=true # Unless writes needed
Cloud users: If you experience timeouts or circuit breaker trips, increase
OPENCTI_TIMEOUTto 120-180. Complex threat intel queries on remote instances can take 60+ seconds under load.
Adaptive Metrics
Use get_network_status tool to view:
- Latency statistics (P50/P95/P99)
- Success rates
- Circuit breaker state
- Recommended timeout/retry settings
Requirements
- Python 3.10+
- OpenCTI 6.x instance
- pycti 6.x
- mcp 1.x
Acknowledgments
Architecture and direction by Steve Anson. Implementation by Claude Code (Anthropic).
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.