What is emeryray2002 virustotal mcp
VirusTotal MCP Server
*
A Model Context Protocol (MCP) server for querying the VirusTotal API. This server provides comprehensive security analysis tools with automatic relationship data fetching. It integrates seamlessly with MCP-compatible applications like Claude Desktop.
Quick Start (TBD)
Installing via Smithery
To install virustotal-mcp for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @emeryray2002/virustotal-mcp --client claude
Installing Manually
TBD
Features
- Comprehensive Analysis Reports: Each analysis tool automatically fetches relevant relationship data along with the basic report, providing a complete security overview in a single request
- URL Analysis: Security reports with automatic fetching of contacted domains, downloaded files, and threat actors
- File Analysis: Detailed analysis of file hashes including behaviors, dropped files, and network connections
- IP Analysis: Security reports with historical data, resolutions, and related threats
- Domain Analysis: DNS information, WHOIS data, SSL certificates, and subdomains
- Detailed Relationship Analysis: Dedicated tools for querying specific types of relationships with pagination support
- Advanced Search: VT Intelligence search capabilities for complex queries across the VirusTotal dataset
- Rich Formatting: Clear categorization and presentation of analysis results and relationship data
Tools
Report Tools (with Automatic Relationship Fetching)
1. URL Report Tool
- Name:
get_url_report
- Description: Get a comprehensive URL analysis report including security scan results and key relationships (communicating files, contacted domains/IPs, downloaded files, redirects, threat actors)
- Parameters:
url
(required): The URL to analyze
- Example:
await get_url_report(url="http://example.com/suspicious")
2. File Report Tool
- Name:
get_file_report
- Description: Get a comprehensive file analysis report using its hash (MD5/SHA-1/SHA-256). Includes detection results, file properties, and key relationships (behaviors, dropped files, network connections, embedded content, threat actors)
- Parameters:
hash
(required): MD5, SHA-1 or SHA-256 hash of the file
- Example:
await get_file_report(hash="44d88612fea8a8f36de82e1278abb02f")
3. IP Report Tool
- Name:
get_ip_report
- Description: Get a comprehensive IP address analysis report including geolocation, reputation data, and key relationships (communicating files, historical certificates/WHOIS, resolutions)
- Parameters:
ip
(required): IP address to analyze
- Example:
await get_ip_report(ip="8.8.8.8")
4. Domain Report Tool
- Name:
get_domain_report
- Description: Get a comprehensive domain analysis report including DNS records, WHOIS data, and key relationships (SSL certificates, subdomains, historical data)
- Parameters:
domain
(required): Domain name to analyze
- Example:
await get_domain_report(domain="example.com")
Relationship Tools (for Detailed Analysis)
1. URL Relationship Tool
- Name:
get_url_relationship
- Description: Query a specific relationship type for a URL with pagination support
- Parameters:
url
(required): The URL to get relationships forrelationship
(required): Type of relationship to query- Available relationships: analyses, comments, communicating_files, contacted_domains, contacted_ips, downloaded_files, graphs, last_serving_ip_address, network_location, referrer_files, referrer_urls, redirecting_urls, redirects_to, related_comments, related_references, related_threat_actors, submissions
limit
(optional, default: 10): Maximum number of related objects to retrieve (1-40)cursor
(optional): Continuation cursor for pagination
- Example:
await get_url_relationship(
url="http://example.com/suspicious",
relationship="communicating_files",
limit=20
)
2. File Relationship Tool
- Name:
get_file_relationship
- Description: Query a specific relationship type for a file with pagination support
- Parameters:
hash
(required): MD5, SHA-1 or SHA-256 hash of the filerelationship
(required): Type of relationship to query- Available relationships: analyses, behaviours, bundled_files, carbonblack_children, carbonblack_parents, ciphered_bundled_files, ciphered_parents, clues, collections, comments, compressed_parents, contacted_domains, contacted_ips, contacted_urls, dropped_files, email_attachments, email_parents, embedded_domains, embedded_ips, embedded_urls, execution_parents, graphs, itw_domains, itw_ips, itw_urls, memory_pattern_domains, memory_pattern_ips, memory_pattern_urls, overlay_children, overlay_parents, pcap_children, pcap_parents, pe_resource_children, pe_resource_parents, related_references, related_threat_actors, similar_files, submissions, screenshots, urls_for_embedded_js, votes
limit
(optional, default: 10): Maximum number of related objects to retrieve (1-40)cursor
(optional): Continuation cursor for pagination
- Example:
await get_file_relationship(
hash="44d88612fea8a8f36de82e1278abb02f",
relationship="behaviours",
limit=20
)
3. IP Relationship Tool
- Name:
get_ip_relationship
- Description: Query a specific relationship type for an IP address with pagination support
- Parameters:
ip
(required): IP address to analyzerelationship
(required): Type of relationship to query- Available relationships: comments, communicating_files, downloaded_files, graphs, historical_ssl_certificates, historical_whois, related_comments, related_references, related_threat_actors, referrer_files, resolutions, urls
limit
(optional, default: 10): Maximum number of related objects to retrieve (1-40)cursor
(optional): Continuation cursor for pagination
- Example:
await get_ip_relationship(
ip="8.8.8.8",
relationship="communicating_files",
limit=20
)
4. Domain Relationship Tool
- Name:
get_domain_relationship
- Description: Query a specific relationship type for a domain with pagination support
- Parameters:
domain
(required): Domain name to analyzerelationship
(required): Type of relationship to query- Available relationships: caa_records, cname_records, comments, communicating_files, downloaded_files, historical_ssl_certificates, historical_whois, immediate_parent, mx_records, ns_records, parent, referrer_files, related_comments, related_references, related_threat_actors, resolutions, soa_records, siblings, subdomains, urls, user_votes
limit
(optional, default: 10): Maximum number of related objects to retrieve (1-40)cursor
(optional): Continuation cursor for pagination
- Example:
await get_domain_relationship(
domain="example.com",
relationship="historical_ssl_certificates",
limit=20
)
5. Advanced Search Tool
- Name:
advanced_corpus_search
- Description: Perform advanced searches across the VirusTotal dataset using VT Intelligence query syntax
- Parameters:
query
(required): The VT Intelligence search query stringlimit
(optional, default: 20): Maximum number of results to return per pagecursor
(optional): Continuation cursor for paginationdescriptors_only
(optional): If true, retrieves only object descriptors instead of full objects
- Example:
await advanced_corpus_search(
query="type:peexe size:100kb+ positives:5+",
limit=20,
cursor=None
)
Requirements
- Python >= 3.11
- A valid VirusTotal API Key
- Required Python packages:
- aiohttp >= 3.9.0
- mcp[cli] >= 1.4.1
- python-dotenv >= 1.0.0
- typing-extensions >= 4.8.0
Error Handling
The server includes comprehensive error handling for:
- Invalid API keys
- Rate limiting
- Network errors
- Invalid input parameters
- Invalid hash formats
- Invalid IP formats
- Invalid URL formats
- Invalid relationship types
- Pagination errors
Development
To run in development mode:
python -m virustotal_mcp
Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature
) - Commit your changes (
git commit -m 'Add amazing feature'
) - Push to the branch (
git push origin feature/amazing-feature
) - Open a Pull Request
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
Acknowledgments
- VirusTotal for providing the API and threat intelligence platform
- The MCP project for the server framework
- Contributors and maintainers
Support
For support, please:
- Check the documentation
- Search existing issues
- Create a new issue if needed
Security
- Never commit API keys or sensitive credentials
- Use environment variables for configuration
- Follow security best practices when handling threat intelligence data
Leave a Comment
Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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