Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Agentic Detection Lookups

by detection-forgeversion 0.1.0i★ –i–
Registry nameio.github.detection-forge/agentic-detection-lookups

Install

Overview

Description from the maker (original English)

LOLBAS, GTFOBins, and process parent-child lookups for detection engineering agents.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: –
  • Transport:
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

The maker has not listed install details in the registry. See the maker’s README below.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account detection-forge, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32564 servers in this category
  • Published to the registry more recently than 9% of the other 32564 servers in this category
  • Basic checks equal to or better than 100% of the other 32564 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agentic Detection Lookups safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Tools MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

Tools MCP

by First-CH

Web production tools for AI agents: contrast, JP text, WebP, JSON-LD, slugs, dates and 40+ more

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Agentic Detection Lookups

Machine-readable detection lookups for SIEM enrichment and AI agents. MCP-native.

Stop regex-matching 200+ binaries. Enrich in one match() call.

Feed it to your SIEM, your SOAR, your agent, or your LLM.

What is this?

A collection of structured CSV lookup files purpose-built for:

  • SIEM enrichment — one match()/lookup/join replaces entire rule categories
  • AI agent tooling — MCP server included, agents query detection context in real-time
  • Detection automation — consistent schema, CI-updated, deploy-ready

Lookup Files

FileEntriesOSDescription
lolbas_binaries.csv234WindowsLiving Off The Land Binaries and Scripts — risk-scored, categorized, MITRE-mapped
gtfobins.csv477LinuxGTFOBins Unix binaries — shell escape, priv-esc, file ops, MITRE-mapped
parent_child_baselines.csv98BothExpected/suspicious process parent→child relationships for Windows and Linux
Schema Contract

Every lookup file follows:

  1. First column = match key (the field you join on)
  2. Always includes risk or risk_if_unexpected column
  3. Always includes MITRE ATT&CK technique mapping
  4. No nested data — flat columns, pipe-delimited for multi-value
  5. UTF-8, no BOM, Unix line endings, header row always present

Quick Start

SIEM (copy-paste)

CrowdStrike NG-SIEM:

#event_simpleName=ProcessRollup2

| binary := lower(FileName) | match(file="lolbas_binaries.csv", field=binary, column=filename, include=[categories, mitre_ids, risk]) | risk="high"

Splunk:

index=crowdstrike event_simpleName=ProcessRollup2

| rex field=FileName "(? [^\\\\]+)$" | lookup lolbas_binaries.csv filename AS binary OUTPUT categories mitre_ids risk | where risk="high"

Elastic (ES|QL):

FROM logs-endpoint.events.process-*

| WHERE event.action == "start" | ENRICH lolbas-policy ON process.name = filename WITH categories, risk | WHERE risk == "high"

Microsoft Sentinel:

DeviceProcessEvents

| extend binary = tolower(FileName) | join kind=inner (_GetWatchlist('lolbas_binaries')) on $left.binary == $right.filename | where risk == "high"

See queries/ for full query libraries per platform.

MCP Server (AI agents)
{

"servers": { "detection-lookups": { "type": "stdio", "command": "python", "args": ["-m", "mcp_server"], "cwd": "/path/to/agentic-detection-lookups" } } }

Then your agent can:

→ detection_lookup_binary("certutil.exe")

← {source: "lolbas", risk: "medium", categories: ["Download"], mitre_ids: ["T1105"]}

→ detection_lookup_binary("python") ← {source: "gtfobins", risk: "high", categories: ["shell", "reverse-shell", ...], mitre_ids: ["T1059"]}

→ detection_check_parent_child("winword.exe", "cmd.exe") ← {expected: false, risk_if_unexpected: "critical", mitre_id: "T1204.002"}

MCP Tools

ToolInputOutput
detection_lookup_binaryfilenameRisk, categories, MITRE IDs, source (lolbas/gtfobins)
detection_check_parent_childparent, child, os_filterExpected/suspicious, risk level, triage guidance
detection_list_by_categorycategory, limit, offsetPaginated binaries in that abuse category (cross-platform)
detection_list_by_mitretechnique_id, limit, offsetPaginated binaries mapped to that technique (cross-platform)
detection_searchquery, limitMatches across all lookup data with total/has_more
detection_list_lookups—All files with row counts and columns

Data Sources

LookupSourceUpdate Frequency
LOLBAS binariesLOLBAS ProjectWeekly (automated)GTFOBinsGTFOBinsWeekly (automated)Parent-child baselinesMITRE ATT&CK, SANS, Microsoft docs, public threat reportsManual curation

Installation

Prerequisites
  • Python 3.10+
  • VS Code with GitHub Copilot (for MCP integration)
Install
git clone https://github.com/detection-forge/agentic-detection-lookups.git

cd agentic-detection-lookups python -m venv .venv

Windows:

.venv\Scripts\activate

Linux/macOS:

source .venv/bin/activate pip install -e .

Configure MCP Client (VS Code)

Add to your VS Code User settings (Ctrl+Shift+P → "Preferences: Open User Settings (JSON)") or ~/.vscode/mcp.json:

{

"servers": { "detection-lookups": { "type": "stdio", "command": "/absolute/path/to/.venv/bin/python", "args": ["-m", "mcp_server"], "cwd": "/absolute/path/to/agentic-detection-lookups" } } }

Windows example:

`json

{

"servers": {

"detection-lookups": {

"type": "stdio",

"command": "C:\\Code\\.venv\\Scripts\\python.exe",

"args": ["-m", "mcp_server"],

"cwd": "C:\\Code\\agentic-detection-lookups"

}

}

}

`

Reload VS Code: Ctrl+Shift+P → "Reload Window"

Verify

In Copilot Chat (Agent mode):

Is certutil.exe a LOLBAS binary?

✅ Returns risk, categories, and MITRE mappings = working!

Run standalone (CLI)
detection-lookups

This starts the MCP server on stdio transport (useful for piping JSON-RPC or connecting other MCP clients).

Upload to your SIEM
  • CrowdStrike NG-SIEM: Upload via API or UI (Settings → Lookup Files)
  • Splunk: Settings → Lookups → Lookup table files → Add new
  • Elastic: Create enrich index + ingest pipeline
  • Sentinel: Configuration → Watchlist → Add new

Project Structure

agentic-detection-lookups/

├── lookups/ # The data (CSV files) │ ├── lolbas_binaries.csv │ ├── gtfobins.csv │ └── parent_child_baselines.csv ├── queries/ # Copy-paste detection queries │ ├── crowdstrike_ngsiem.md │ ├── splunk.md │ ├── elastic.md │ └── microsoft_sentinel.md ├── mcp_server/ # MCP server for AI agents │ ├── server.py │ └── init.py ├── scripts/ # Update/maintenance scripts ├── LICENSE # Apache 2.0 ├── NOTICE └── pyproject.toml

Contributing

PRs welcome. See CONTRIBUTING.md for guidelines.

To add a new lookup file:

  1. Follow the schema contract (match key first, include risk + MITRE columns)
  2. Include at least one query example per SIEM platform
  3. Add a tool to the MCP server

License

Apache 2.0 — See LICENSE and NOTICE.


Built by Gene Kazimiarovich | Part of Detection Forge

Ask PopNx