Skip to main content
Glama
snoe-findley

Velociraptor MCP Server

by snoe-findley

Velociraptor MCP - Streamable Variation

This variant is optimized for Streamable HTTP transport (FastMCP 2.3.0+), making it directly compatible with modern MCP proxies and Open WebUI.

Deployment Options

1. Full Stack (Server + Proxy)

This is the recommended way to integrate with Open WebUI. It launches the Velociraptor MCP bridge and a sidecar proxy (mcpo) that exposes the tools via OpenAPI on port 8000.

docker compose up -d
  • Bridge URL (MCP): http://localhost:8088/mcp

  • Proxy URL (OpenAPI): http://localhost:8000/

2. Core Server Only (Direct Streamable)

Use this if your client already supports Streamable HTTP or if you are using an external proxy.

docker compose up -d velociraptor-mcp
  • Bridge URL (MCP): http://localhost:8088/mcp

3. Local Development (No Docker)

  1. Install dependencies: pip install -r requirements.txt

  2. Configure .env and api_client.yaml.

  3. Run: python mcp_velociraptor_bridge.py

Troubleshooting n8n Timeouts

If you receive "MCP error -32001: Request timed out" in n8n, it is because forensic collections (like pslist) take longer than n8n's 60-second response window.

Solution: Async Mode

Set VELOCIRAPTOR_ASYNC_COLLECTIONS=true in your docker-compose.yml or .env.

In this mode:

  1. Tools return a flow_id immediately without waiting for the endpoint.

  2. You can then use the get_collection_results tool (providing the flow_id) in a separate n8n node after a few moments to fetch the data.

Configuration

  • Port: 8088 (Bridge) / 8000 (Proxy)

  • Transport: Defaults to streamable-http

  • Dangerous Tools: Set ENABLE_DANGEROUS_TOOLS=true in .env.

  • Async Collections: Set VELOCIRAPTOR_ASYNC_COLLECTIONS=true for n8n compatibility.

A
license - permissive license
-
quality - not tested
C
maintenance

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/snoe-findley/mcp-velociraptor'

If you have feedback or need assistance with the MCP directory API, please join our Discord server