ASMHunter runs on your own machine — the client starts it, so there is no endpoint to ping. 80 installs a week from pypi.
Drive ASMHunter attack-surface monitoring from an AI agent: recon, scans, findings, reports.
Today is the operative word: we check ASMHunter every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add asmhunter-mcp -- uvx asmhunter-mcp
{
"mcpServers": {
"asmhunter-mcp": {
"args": [
"asmhunter-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.asmhunter-mcp]
command = "uvx"
args = ["asmhunter-mcp"]
{
"mcpServers": {
"asmhunter-mcp": {
"args": [
"asmhunter-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"asmhunter-mcp": {
"args": [
"asmhunter-mcp"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
ASMHUNTER_TOKEN (ASMHunter Personal Access Token (asm_live_...). Mint one at asmhunter.app -> Settings -> API Tokens (Hunter tier or above).).
The author declared them in the registry entry; get the values from the project itself.
FMCSA motor-carrier risk scores, monitoring, and carrier-selection evidence reports for AI agents.
AI-powered penetration testing. Launch scans, review findings, download reports.
MCP server for SecObserve: triage findings, manage products, import scan reports and SBOMs.
PlatformIO for AI agents: build, flash, serial monitor, tests, crash decoding, size reports.
MCP server for Pentest-Tools.com: run scans, manage findings and reports via your preffered LLM.
MCP server for fixing static analysis issues from SARIF reports with AI agents
Read and write WiseGrid sheets, rows, columns and reports from any AI agent.
AI agent vision for GitHub repository monitoring — with ROI measurement.
Answers built from our own checks of this server.