MCP server for Huntress — accounts, organizations, agents, incidents, and reports.
unavailable — the image reference already carries a tag
Docker
docker run -i --rm ghcr.io/wyre-ai/huntress-mcp:v1.2.23
Pick your client — the config below is generated for this server (local stdio). Copy respects the “Pin version” switch above.
claude_desktop_config.json
{
"mcpServers": {
"huntress-mcp-2": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/wyre-ai/huntress-mcp:v1.2.23"
],
"env": {
"HUNTRESS_API_KEY": "<YOUR_HUNTRESS_API_KEY>",
"HUNTRESS_API_SECRET": "<YOUR_HUNTRESS_API_SECRET>"
}
}
}
}Format verified against the official Claude Desktop docs ↗.
terminal
claude mcp add --env HUNTRESS_API_KEY=<YOUR_HUNTRESS_API_KEY> --env HUNTRESS_API_SECRET=<YOUR_HUNTRESS_API_SECRET> huntress-mcp-2 -- docker run -i --rm ghcr.io/wyre-ai/huntress-mcp:v1.2.23
Format verified against the official Claude Code docs ↗.
.cursor/mcp.json
{
"mcpServers": {
"huntress-mcp-2": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/wyre-ai/huntress-mcp:v1.2.23"
],
"env": {
"HUNTRESS_API_KEY": "<YOUR_HUNTRESS_API_KEY>",
"HUNTRESS_API_SECRET": "<YOUR_HUNTRESS_API_SECRET>"
}
}
}
}Format verified against the official Cursor docs ↗.
.vscode/mcp.json
{
"servers": {
"huntress-mcp-2": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/wyre-ai/huntress-mcp:v1.2.23"
],
"env": {
"HUNTRESS_API_KEY": "<YOUR_HUNTRESS_API_KEY>",
"HUNTRESS_API_SECRET": "<YOUR_HUNTRESS_API_SECRET>"
}
}
}
}Format verified against the official VS Code docs ↗.
mcp_config.json
{
"mcpServers": {
"huntress-mcp-2": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/wyre-ai/huntress-mcp:v1.2.23"
],
"env": {
"HUNTRESS_API_KEY": "<YOUR_HUNTRESS_API_KEY>",
"HUNTRESS_API_SECRET": "<YOUR_HUNTRESS_API_SECRET>"
}
}
}
}Format verified against the official Windsurf docs ↗.
Defined in the server's official registry manifest. Required secrets are shown as <YOUR_…> placeholders in the configs above.
HUNTRESS_API_KEY required secret — Huntress API key (public identifier portion of the API credential)HUNTRESS_API_SECRET required secret — Huntress API secretMCP_TRANSPORT — Transport mode for the server. Set to 'stdio' for local CLI use; the image defaults to 'http' for gateway hosting.AUTH_MODE — Credential source: 'env' reads vars locally, 'gateway' expects header injection from the WYRE MCP Gateway.LOG_LEVEL — Log verbosity: debug, info, warn, error⭐ 1 stars · 最近更新于 16 天前
Huntress MCP Server A Model Context Protocol (MCP) server that provides AI assistants with structured access to Huntress cybersecurity platform data and operations. Note: This project is maintained by Wyre Technology. Quick Start Claude Desktop — download, open, done: 1. Download huntress mcp.mcpb f…
Summary from the project README — github.com/WYRE-AI/huntress-mcp
Distributed as Docker, listed under Developer Tools. Review our MCP security guide before granting access to real data.
Huntress MCP Server A Model Context Protocol (MCP) server that provides AI assistants with structured access to Huntress cybersecurity platform data and operations. Note: This project is maintained by Wyre Technology. Quick Start Claude Desktop — download, open, done: 1. Download huntress mcp.mcpb f
Run the install command shown above, then paste the config for your client (Claude Desktop, Claude Code, Cursor, VS Code or Windsurf) into its MCP settings and restart the client.
The MCP server itself is free to install. The source is public on https://github.com/WYRE-AI/huntress-mcp. Any third-party service it calls may require its own API key and account.
Any MCP-compatible client can use it, including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and custom agents.
Publish this server? Link back with a badge on your README or site — copy either snippet.
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