Megaraptor MCP
Related Servers
Alternatives to Megaraptor MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to interface with Velociraptor for digital forensics and incident response tasks, including file/memory scans, remediation actions, and artifact collection across multiple operating systems.1MIT
- AlicenseNot gradedqualityDmaintenanceEnables natural language interaction with Velociraptor DFIR through MCP, allowing LLMs to query artifacts, clients, flows, and collect forensic data.41AGPL 3.0
- FlicenseNot gradedqualityDmaintenanceEnables MCP clients to interact with a Velociraptor deployment for DFIR workflows, allowing VQL queries, client management, hunt creation, and artifact collection.-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to perform digital forensics analysis including memory analysis, file metadata inspection, and threat-intelligence lookups.1 npmISC
- FlicenseNot gradedqualityCmaintenanceA proof-of-concept MCP bridge that exposes Velociraptor's forensic triage tools to LLMs, enabling natural language querying of Windows endpoints for artifacts like network connections and suspicious processes.94-
- FlicenseAqualityCmaintenanceEnables AI agents to perform digital forensics and incident response tasks by dynamically discovering and utilizing host tools for memory analysis, metadata extraction, threat detection, and file dissection.51-
TDQS
Scored across 35 tools
Most tools have distinct purposes targeting specific resources (e.g., deploy_agents_ssh vs deploy_agents_winrm, get_flow_results vs get_flow_status), but some overlap exists between deployment tools (deploy_server, deploy_server_cloud, deploy_server_docker) which could cause confusion about when to use each. The descriptions help clarify, but the boundaries aren't perfectly clear.
All tools follow a consistent verb_noun naming pattern with snake_case throughout (e.g., cancel_flow, create_hunt, list_clients). There are no deviations in style or convention, making the set highly predictable and readable.
With 35 tools, the count feels heavy for a single server, though it covers a broad domain (Velociraptor deployment and management). While many tools are justified, the number could overwhelm agents and might benefit from consolidation or categorization.
The tool set provides comprehensive coverage for Velociraptor operations, including deployment (server and agents), artifact collection, client management, hunt orchestration, and administrative tasks. There are no obvious gaps; agents can perform full lifecycle management from setup to teardown.