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Alertlogic MCP

by rijul170version 0.1.0i★ –iRuns on your computer
Registry nameio.github.rijul170/alertlogic-mcp

Install

Overview

Description from the maker (original English)

MCP server for Alert Logic MDR — incident response, log search, SOAR, and SOC workflows

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: Runs on your computer
  • Transport: stdio
  • Category: Cybersecurity

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.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "alertlogic": {
      "command": "uvx",
      "args": [
        "alertlogic-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add alertlogic -- uvx alertlogic-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "alertlogic": {
      "command": "uvx",
      "args": [
        "alertlogic-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "alertlogic": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "alertlogic-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

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 rijul170, 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 Cybersecurityi

  • More stars than 0% of the other 993 servers in this category
  • Published to the registry more recently than 28% of the other 993 servers in this category
  • Basic checks equal to or better than 100% of the other 993 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 Alertlogic MCP 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 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: ipdata MCP by usefulapi, MaxMind minFraud MCP by usefulapi, Lambda Labs MCP by usefulapi

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

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Runs in the cloudUpdated today
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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.

Alert Logic MCP Server

Bring the full Alert Logic MDR platform into your AI assistant.

A Model Context Protocol server that exposes the complete Alert Logic API surface as structured tools any MCP-compatible client (Claude Desktop, Claude Code, Cursor, …) can call directly — enabling AI-powered security operations, incident response, and threat hunting at MSSP scale.

For incident responders: Query Alert Logic MDR incidents, elaborate raw log evidence, kick off SOAR playbooks, and search logs with SQL — all through Claude. Designed for MSSP-scale multi-account operations.


Table of Contents

  • Overview
  • Features
  • Architecture
  • Prerequisites
  • Installation
  • Configuration
  • Claude Code Integration
  • Claude Desktop Integration
  • Module Overview
  • SOC Quick Start
  • Built-in SOC Playbooks
  • Multi-Account MSSP Usage
  • Security Notes
  • Testing
  • Troubleshooting
  • Contributing
  • License

Overview

This MCP server wraps the Alert Logic MDR platform API and exposes it as 473+ structured tools that any MCP-compatible AI client can call directly. It covers the full Alert Logic API surface — incident response, SQL-based log search, SOAR playbook automation, asset management, vulnerability analysis, user and credential management, billing, and more — organized into 46 domain modules. Auth, retries, pagination, token management, and JSON shaping are handled server-side; your AI client simply calls the tool by name.


Features

  • Incident Response — List, get, elaborate (raw log evidence), complete, reopen, add notes, and add feedback to incidents. Friendly-ID lookup included.
  • SQL Log Search — Submit Alert Logic log search queries in SQL, poll status, retrieve results, and release sessions.
  • SOAR Playbook Automation — List, get, execute, and monitor SOAR playbooks; manage inquiries, triggers, and execution state.
  • Asset Topology — Query the full asset inventory, declare and remove assets, set properties, and retrieve topology graphs for any deployment.
  • Vulnerability Management — List exposures by severity, retrieve per-asset vulnerabilities, search the vulnerability knowledge base, and manage remediation items.
  • User & Access Key Management — Full CRUD on users, roles, access keys, MFA settings, and password resets across accounts.
  • Multi-Account MSSP Support — Per-tool account_id override and bulk cross-account operations (bulk deployments, bulk health checks, partner incidents).
  • Built-in SOC Playbooks — Six tools that surface pre-written IR guides, threat-hunt workflows, MITRE ATT&CK mappings, and tool reference guides directly in-context.
  • Tickets & Watchlist — Create, update, and close tickets; manage the alerting watchlist.
  • Cloud & Azure Explorer — Browse cloud resource topology across AWS and Azure environments.
  • Analytics Engine — Access AE content, rules, analytics, tags, tuning, and publication across multiple AE subsystems.
  • Infrastructure Operations — Manage environments, scan schedules, scan results, network controls, ingest sources, and log integrations.

Architecture

+--------------------+      stdio / streamable-HTTP (MCP)     +--------------------------------+

| MCP Client | <-------------------------------------> | AlertLogic MCP Server | | (Claude Desktop, | | (this repo, main.py) | | Claude Code, …) | | | +--------------------+ | 46 modules (~473 tools): | | incidents, soc, soar, | | assets, vuln, users, … | | | | | base.py (HTTP, AIMS auth, | | token cache, retries) | +----------+---------------------+ | v HTTPS + AIMS Bearer token +-----------------------------+ | AlertLogic MDR Platform | | api.cloudinsight....com | +-----------------------------+

Transport: The server supports three MCP transports selectable via MCP_TRANSPORT:

  • stdio (default) — launched on demand by your MCP client; no network port opened.
  • streamable-http — persistent HTTP server; suitable for Claude Code and remote clients.
  • sse — Server-Sent Events transport for SSE-capable clients.

Authentication: Alert Logic uses AIMS Bearer token auth. The server exchanges your access_key_id:secret_key API key for a short-lived Bearer token on first use, caches it, and re-authenticates automatically when the token expires — no manual token rotation required.

`base.py` centralizes HTTP method helpers (_get, _post, _put, _delete), per-service URL routing (Account-Topology service, global service, _at-prefixed routes), error translation, and the AIMS token cache.


Prerequisites

  • Python 3.10 or newer
  • uv (recommended) or pip
  • An Alert Logic account with API access enabled
  • An Alert Logic API key (access key ID + secret key; see Configuration)

Installation

# 1. Clone the repository

git clone https://github.com/rijul170/alertlogic-mcp.git cd alertlogic-mcp

2. Create a virtual environment and install dependencies

python -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate pip install -r requirements.txt

Or with uv (faster):

uv venv uv pip install -r requirements.txt

3. Configure credentials

cp .env.example .env $EDITOR .env # fill in the required variables (see below)


Configuration

All configuration is via environment variables, loaded from .env at startup.

Required variables
VariableDescription
ALERTLOGIC_API_KEYAPI key in access_key_id:secret_key format (see below for how to create one)
ALERTLOGIC_BASE_URLAPI base URL — https://api.cloudinsight.alertlogic.com (US) or https://api.cloudinsight.alertlogic.co.uk (UK)
ALERTLOGIC_ACCOUNT_IDYour Alert Logic account ID (visible in the console URL and account settings)
Optional variables
VariableDefaultDescription
MCP_TRANSPORTstdioTransport: stdio, sse, or streamable-http
MCP_HOST127.0.0.1Bind host (HTTP transports only)
MCP_PORT8000Bind port (HTTP transports only)
ALERTLOGIC_MCP_READONLY_(off)_Set to true to register only read tools — write and destructive tools are never exposed to the AI client
ALERTLOGIC_MCP_ALLOW_DESTRUCTIVE_(off)_Destructive tools (deletes, SOAR playbook execution, scan launches, ...) are suppressed by default. Set to true to arm all of them, or a comma-separated list of tool names to arm selectively
Optional service URL overrides

These default to Alert Logic's standard endpoints. Override only if you have a custom deployment:

ALERTLOGIC_GLOBAL_BASE_URL=https://api.global-services.global.alertlogic.com

ALERTLOGIC_AETUNER_BASE_URL=https://aetuner.mdr.global.alertlogic.com ALERTLOGIC_CONNECTORS_BASE_URL=https://connectors.mdr.global.alertlogic.com ALERTLOGIC_RESPONDER_BASE_URL=https://api.responder.alertlogic.com

Creating an API key
  1. Sign in to the Alert Logic console.
  2. Navigate to Manage → Users, select your user, then open Access Keys → Create.
  3. Copy the Access Key ID and Secret Key.
  4. Combine them as access_key_id:secret_key (with the colon) and set that as ALERTLOGIC_API_KEY.

Claude Code Integration (HTTP mode)

Start the server in HTTP mode:

MCP_TRANSPORT=streamable-http python main.py

Then register it in your Claude Code project or user MCP config (.claude/settings.json or ~/.claude/settings.json):

{

"mcpServers": { "alertlogic-mcp": { "type": "http", "url": "http://localhost:8000/mcp" } } }

Or via the CLI:

claude mcp add --transport http alertlogic-mcp http://localhost:8000/mcp

Claude Desktop Integration (stdio mode)

Edit claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %AppData%\Claude\claude_desktop_config.json
{

"mcpServers": { "alertlogic-mcp": { "command": "/absolute/path/to/.venv/bin/python", "args": ["/absolute/path/to/alertlogic-mcp/main.py"] } } }

Use absolute paths. Tilde (~) is not expanded by Claude Desktop. Point command at the venv Python, not the system Python.

Restart Claude Desktop. Alert Logic tools will appear in the tool picker.


Module Overview

46 modules, ~473 tools, organized by domain:

Incident Response
ModuleToolsKey operations
incidents_mcp11List, get, friendly-ID lookup, complete, reopen, add notes, add feedback, list partner incidents
soc14Submit/poll/release SQL log searches, list exposures, get health summary

| soc_playbooks | 6 | Built-in IR guide, threat-hunt workflow, MITRE mapping, to

Only the beginning is shown; read the rest in the repo

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