Megaraptor MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| VELOCIRAPTOR_API_URL | No | The URL of the Velociraptor server (e.g., https://velociraptor.example.com:8001). | |
| VELOCIRAPTOR_CA_CERT | No | Path to the CA certificate or PEM content. | |
| VELOCIRAPTOR_CLIENT_KEY | No | Path to the client key or PEM content. | |
| VELOCIRAPTOR_CLIENT_CERT | No | Path to the client certificate or PEM content. | |
| VELOCIRAPTOR_CONFIG_PATH | No | Path to the generated API client config file (api_client.yaml). |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_clientsA | Search and list Velociraptor clients (endpoints). Args: search: Optional search query. Supports prefixes like 'label:' and 'host:'. Examples: 'label:production', 'host:workstation-01', 'windows' limit: Maximum number of clients to return (default 100) Returns: List of clients with their ID, hostname, OS, labels, and last seen time. |
| get_client_infoA | Get detailed information about a specific Velociraptor client. Args: client_id: The client ID (e.g., 'C.1234567890abcdef') Returns: Detailed client information including hardware, OS, IP addresses. |
| label_clientA | Add or remove labels from a Velociraptor client. Args: client_id: The client ID (e.g., 'C.1234567890abcdef') labels: List of label names to add or remove operation: Either 'add' or 'remove' (default: 'add') Returns: Updated client labels. |
| quarantine_clientA | Quarantine or unquarantine a Velociraptor client. Quarantining a client isolates it from the network while maintaining communication with the Velociraptor server. Args: client_id: The client ID (e.g., 'C.1234567890abcdef') quarantine: True to quarantine, False to unquarantine (default: True) message: Optional message to include with the quarantine action Returns: Quarantine status of the client. |
| list_artifactsB | List available Velociraptor artifacts. Args: search: Optional search term to filter artifacts by name or description artifact_type: Optional type filter: 'CLIENT', 'SERVER', or 'NOTEBOOK' limit: Maximum number of artifacts to return (default 100) Returns: List of artifacts with their names, descriptions, and types. |
| get_artifactA | Get the full definition of a Velociraptor artifact. Args: artifact_name: The name of the artifact (e.g., 'Windows.System.Pslist') Returns: Complete artifact definition including parameters, sources, and VQL. |
| collect_artifactA | Schedule artifact collection on a Velociraptor client. Args: client_id: The client ID (e.g., 'C.1234567890abcdef') artifacts: List of artifact names to collect parameters: Optional dict of parameters for the artifacts. Format: {"ArtifactName": {"param1": "value1"}} timeout: Query timeout in seconds (default 600) urgent: If True, prioritize this collection (default False) Returns: Flow ID for tracking the collection. |
| create_huntA | Create a new Velociraptor hunt to collect artifacts across multiple clients. Args: artifacts: List of artifact names to collect description: Description of the hunt's purpose parameters: Optional parameters for artifacts. Format: {"ArtifactName": {"param": "value"}} include_labels: Only include clients with these labels exclude_labels: Exclude clients with these labels os_filter: Filter by OS: 'windows', 'linux', 'darwin' timeout: Query timeout per client in seconds (default 600) expires_hours: Hunt expiration in hours (default 24) paused: Create hunt in paused state (default True for safety) Returns: Hunt ID and details. |
| list_huntsB | List Velociraptor hunts. Args: state: Optional filter by state: 'RUNNING', 'PAUSED', 'STOPPED', 'COMPLETED' limit: Maximum number of hunts to return (default 50) Returns: List of hunts with their status and statistics. |
| get_hunt_resultsA | Get results from a Velociraptor hunt. Args: hunt_id: The hunt ID (e.g., 'H.1234567890') artifact: Optional specific artifact to get results for limit: Maximum number of result rows to return (default 1000) Returns: Hunt results data from all clients. |
| modify_huntA | Modify a Velociraptor hunt state. Args: hunt_id: The hunt ID (e.g., 'H.1234567890') action: Action to perform: 'start', 'pause', 'stop', 'archive' Returns: Updated hunt status. |
| list_flowsA | List collection flows for a Velociraptor client. Args: client_id: The client ID (e.g., 'C.1234567890abcdef') limit: Maximum number of flows to return (default 50) Returns: List of flows with their status and artifacts. |
| get_flow_resultsA | Get results from a specific Velociraptor collection flow. Args: client_id: The client ID (e.g., 'C.1234567890abcdef') flow_id: The flow ID (e.g., 'F.1234567890') artifact: Optional specific artifact to get results for limit: Maximum number of result rows to return (default 1000) Returns: Collection results data. |
| get_flow_statusB | Get the status of a specific collection flow. Args: client_id: The client ID (e.g., 'C.1234567890abcdef') flow_id: The flow ID (e.g., 'F.1234567890') Returns: Flow status including state, progress, and any errors. |
| cancel_flowB | Cancel a running collection flow. Args: client_id: The client ID (e.g., 'C.1234567890abcdef') flow_id: The flow ID (e.g., 'F.1234567890') Returns: Cancellation status. |
| run_vqlA | Execute an arbitrary VQL (Velociraptor Query Language) query. VQL is the query language used by Velociraptor for forensic analysis. It follows a SQL-like syntax with plugins instead of tables. Common VQL patterns:
Args: query: The VQL query to execute env: Optional environment variables to pass to the query. Use this to safely pass dynamic values instead of string interpolation. max_rows: Maximum number of rows to return (default 10000) org_id: Optional organization ID for multi-tenant deployments Returns: Query results as JSON. |
| vql_helpA | Get help on VQL (Velociraptor Query Language). Args: topic: Optional topic to get help on. Options: - 'syntax': VQL syntax basics - 'plugins': Common VQL plugins - 'functions': Common VQL functions - 'examples': Example queries Returns: Help text for the requested topic. |
| deploy_serverA | Deploy a Velociraptor server for incident response. Args: deployment_type: Deployment target - 'docker', 'binary', 'aws', or 'azure' profile: Deployment profile - 'rapid' (auto-destroys in 72h), 'standard', or 'enterprise' server_hostname: Hostname for the server (used in certificates and config) gui_port: Port for GUI/API access (default 8889) frontend_port: Port for client connections (default 8000) target_host: Target host for binary deployment (required for binary type) ssh_user: SSH username for binary deployment ssh_key_path: Path to SSH private key for binary deployment Returns: Deployment details including server URL, API URL, and admin credentials. IMPORTANT: Admin password is shown only once - save it immediately. |
| deploy_server_dockerA | Deploy Velociraptor server using Docker (fastest method). Optimized for rapid incident response. Server will be operational within 2-5 minutes. Args: profile: Deployment profile ('rapid', 'standard', 'enterprise') server_hostname: Hostname for server access gui_port: GUI/API port (default 8889) frontend_port: Client connection port (default 8000) memory_limit: Container memory limit (default 4g) cpu_limit: Container CPU limit (default 2) Returns: Deployment details including URLs and one-time admin password. |
| deploy_server_cloudA | Deploy Velociraptor server on cloud infrastructure. Deploys using CloudFormation (AWS) or ARM templates (Azure). Args: cloud_provider: Cloud provider - 'aws' or 'azure' profile: Deployment profile ('standard' or 'enterprise') region: Cloud region (defaults to us-east-1 for AWS, eastus for Azure) instance_type: VM instance type (auto-selected based on profile) server_hostname: Hostname for server (defaults to public IP) Returns: Deployment details including cloud resource IDs and URLs. |
| get_deployment_statusB | Check the status and health of a deployment. Args: deployment_id: The deployment identifier (e.g., 'vr-20240115-a1b2c3d4') Returns: Current deployment status including health checks and metrics. |
| destroy_deploymentA | Destroy a Velociraptor deployment and clean up resources. WARNING: This action is irreversible. All data will be lost. Args: deployment_id: The deployment identifier to destroy confirm: Must be True to confirm destruction Returns: Destruction status and cleanup details. |
| list_deploymentsA | List all managed Velociraptor deployments. Args: profile_filter: Filter by profile name ('rapid', 'standard', 'enterprise') include_destroyed: Include destroyed deployments Returns: List of deployments with their current status. |
| generate_agent_installerA | Generate an agent installer package with embedded configuration. Creates platform-specific installers that can be deployed without additional configuration. Args: deployment_id: The deployment to generate installer for os_type: Target OS - 'windows', 'linux', or 'macos' installer_type: Installer format - 'msi', 'deb', 'rpm', or 'pkg' (auto-selected based on os_type if not specified) labels: Labels to apply to agents installed with this package Returns: Path to generated installer and installation instructions. |
| create_offline_collectorA | Create an offline collection package for air-gapped systems. Generates a self-contained package that collects forensic artifacts without requiring network connectivity to a Velociraptor server. Args: artifacts: List of artifacts to collect (e.g., ['Windows.System.Pslist']) target_os: Target OS - 'windows', 'linux', or 'macos' artifact_set: Use predefined artifact set instead of listing artifacts. Options: 'windows_triage', 'windows_quick', 'linux_triage', 'macos_triage', 'memory', 'ransomware' encrypt_output: Encrypt collection output with a generated password deployment_id: Optional deployment ID for tracking Returns: Path to generated collector package and usage instructions. |
| generate_gpo_packageA | Generate a GPO deployment bundle for Windows domain environments. Creates MSI installer, configuration files, and step-by-step GPO setup documentation. Args: deployment_id: The deployment to generate package for domain_controller: Name of the domain controller (for share paths) labels: Labels to apply to deployed agents Returns: Path to GPO package and deployment instructions. |
| generate_ansible_playbookB | Generate Ansible playbook for agent deployment. Creates a complete Ansible role with tasks for all selected platforms. Args: deployment_id: The deployment to generate playbook for include_windows: Include Windows deployment tasks include_linux: Include Linux deployment tasks include_macos: Include macOS deployment tasks labels: Labels to apply to deployed agents Returns: Path to generated playbook directory and usage instructions. |
| deploy_agents_winrmA | Push Velociraptor agents to Windows systems via WinRM. Args: deployment_id: The deployment to connect agents to targets: List of target hostnames or IPs username: Windows username (DOMAIN\user or user@domain) password: Windows password labels: Labels to apply to deployed agents use_ssl: Use HTTPS for WinRM (default True) port: WinRM port (default 5986 for HTTPS) Returns: Deployment results for each target. |
| deploy_agents_sshA | Push Velociraptor agents to Linux/macOS systems via SSH. Args: deployment_id: The deployment to connect agents to targets: List of target hostnames or IPs username: SSH username key_path: Path to SSH private key (preferred) password: SSH password (if not using key) target_os: Target OS - 'linux' or 'macos' labels: Labels to apply to deployed agents port: SSH port (default 22) Returns: Deployment results for each target. |
| check_agent_deploymentB | Verify agent enrollment status for a deployment. Checks which agents have successfully enrolled with the server. Args: deployment_id: The deployment to check client_search: Optional search filter for client hostname/ID labels: Filter by client labels Returns: List of enrolled clients and their status. |
| generate_server_configB | Generate Velociraptor server configuration file. Args: deployment_id: The deployment to generate config for output_format: Output format - 'yaml' or 'json' Returns: Server configuration content. |
| generate_api_credentialsA | Generate API client credentials for MCP connection. Creates a new API client certificate for connecting this MCP server to a Velociraptor deployment. Args: deployment_id: The deployment to generate credentials for client_name: Name for the API client validity_days: Certificate validity in days Returns: API credentials in Velociraptor config file format. IMPORTANT: Save these credentials - they can only be displayed once. |
| rotate_certificatesA | Rotate certificates for a deployment. WARNING: Rotating CA certificate will require re-enrollment of all agents. Args: deployment_id: The deployment to rotate certificates for rotate_ca: Also rotate the CA certificate (requires re-enrollment) validity_days: Validity period for new certificates Returns: New certificate fingerprints and re-enrollment instructions. |
| validate_deploymentA | Run comprehensive security and health validation on a deployment. Checks:
Args: deployment_id: The deployment to validate Returns: Detailed validation report with any issues found. |
| export_deployment_docsB | Generate comprehensive deployment documentation. Creates documentation including:
Args: deployment_id: The deployment to document output_path: Optional path for documentation files Returns: Path to generated documentation. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| investigate_endpoint | Start a comprehensive investigation on a specific endpoint. Guides through system interrogation, process analysis, network connections, and persistence mechanisms. Args: client_id: The Velociraptor client ID (e.g., C.1234567890abcdef) or hostname to investigate |
| threat_hunt | Create and execute a threat hunting campaign across multiple endpoints. Helps build hunts for specific IOCs, TTPs, or suspicious behaviors. Args: indicators: Indicators of compromise (IOCs) or behaviors to hunt for hunt_type: Type of hunt - 'file', 'process', 'network', 'registry', 'persistence', or 'custom' |
| triage_incident | Rapid incident triage workflow. Quickly collects critical forensic artifacts for initial assessment and scoping. Args: client_id: The Velociraptor client ID of the affected endpoint incident_type: Type of incident - 'malware', 'intrusion', 'data_exfil', 'ransomware', or 'unknown' |
| malware_analysis | Analyze potentially malicious files or processes. Guides through file analysis, process inspection, and behavioral indicators. Args: client_id: The Velociraptor client ID where the suspected malware exists target: File path or process name to analyze |
| lateral_movement | Detect and investigate lateral movement indicators. Checks for RDP, SMB, WMI, PowerShell remoting, and other lateral movement techniques. Args: scope: Investigation scope - specific client_id, 'label:xxx' for labeled clients, or 'all' for enterprise-wide timeframe: Time range to investigate (e.g., '24h', '7d', '30d') |
| rapid_ir_deployment | Guided workflow for rapid Velociraptor deployment during an active incident. Gets you from zero to collecting artifacts in under 5 minutes. Args: target_count: Approximate number of endpoints to deploy to environment: Environment type - 'windows_domain', 'mixed', 'linux', or 'cloud' |
| deploy_and_triage | Deploy Velociraptor and immediately begin triage collection on affected systems. Args: incident_type: Type of incident - 'ransomware', 'intrusion', 'malware', 'data_breach', or 'unknown' affected_systems: List of affected system hostnames or IPs (comma-separated) |
| offline_collection_kit | Generate a complete offline collection kit for air-gapped or isolated systems. Args: target_os: Target operating system - 'windows', 'linux', or 'macos' collection_type: Collection type - 'triage', 'full', 'memory', or 'custom' |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| clients_resource | Browse connected Velociraptor endpoints. |
| hunts_resource | Browse Velociraptor hunt campaigns. |
| artifacts_resource | Browse available Velociraptor artifacts. |
| server_info_resource | Velociraptor server information and status. |
| deployments_resource | List of Velociraptor deployments managed by Megaraptor MCP. |
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