MCP Server Malcolm

Name: MCP Server Malcolm
Author: nagameTW

by nagameTWversion 1.2.1i★ –iRuns on your computer

Registry nameio.github.nagameTW/mcp-server-malcolm

Install

Overview

Description from the maker (original English)

MCP server for Malcolm (Zeek/Suricata/Arkime/OpenSearch): threat-hunting access for AI agents

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "malcolm": {
      "command": "uvx",
      "args": [
        "mcp-server-malcolm"
      ]
    }
  }
}

Run this in your terminal

claude mcp add malcolm -- uvx mcp-server-malcolm

Open in Cursor

Or copy the settings yourself

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

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

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": {
    "malcolm": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-server-malcolm"
      ]
    }
  }
}

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 nagameTW, 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 60% 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 MCP Server Malcolm 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 (1.2.1) reached the registry 25 days 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

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

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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.

Malcolm MCP Server

English | 繁體中文

Malcolm MCP Server lets an AI agent ask questions about the traffic in your Malcolm instance. The server uses the field names and the filter syntax that Malcolm uses. The agent does not guess them. It works with any MCP client, such as Claude Code, Claude Desktop or Cursor.

Example requests, and the tools that answer them:

"Show every Suricata alert involving 192.0.2.15 in the last 24 hours, and which NetBox device owns that IP." This calls malcolm_alerts and malcolm_netbox_lookup.
"Who were the top talkers by protocol over the last hour?" This calls malcolm_aggregate.
"List the executables Zeek carved out of yesterday's traffic, with their hashes." This calls malcolm_file_scans.
"Upload this PCAP, then hunt the stored packets for this string." This calls malcolm_upload_pcap and arkime_create_hunt. Both are write tools, and they are off by default.

A recorded session shows an agent answering a question about Modbus alerts.

Requirements

Python 3.11 or newer.
A Malcolm instance with API access, reachable over HTTPS.
An MCP client.

Quick start

1. Install the server. Then start it with stdin closed. It prints the state of the write classes and exits with code 0.

pip install mcp-server-malcolm

mcp-server-malcolm < /dev/null

[mcp-server-malcolm] write classes: alerting=off arkime-tag=off hunt-job=off pcap-upload=off arkime-view=off

2. Register it with Claude Code. Replace the values with your own.

claude mcp add malcolm \

-e MALCOLM_URL=https://malcolm.example \ -e MALCOLM_USERNAME=analyst \ -e MALCOLM_PASSWORD='your-password' \ -e MALCOLM_SSL_VERIFY=/path/to/malcolm-ca.crt \ -- mcp-server-malcolm

Everything after -- is the launch command. Each -e sets one environment variable for it. A password typed in this command stays in your shell history. The install page shows how to avoid that. It also covers other MCP clients and other ways to install.

3. Check the connection. Ask the agent to call malcolm_ping. If the call fails, read Troubleshooting. A self-signed certificate is the most common cause.

Connection settings

Variable	Default	Meaning
`MALCOLM_URL`	`https://localhost`	Base URL of Malcolm
`MALCOLM_USERNAME`	`admin`	Basic-auth user
`MALCOLM_PASSWORD`	`admin`	Basic-auth password
`MALCOLM_SSL_VERIFY`	`true`	`true`, `false`, or the path of a CA bundle

Malcolm ships a self-signed certificate. For a remote Malcolm, point MALCOLM_SSL_VERIFY at the CA bundle. The certificate must carry a subjectAltName that matches the host name. The certificate that Malcolm's own setup generates has none, so install one that does. Use false only on an isolated lab machine. The configuration page lists every variable.

Read-only by default

The write tools come in five classes, and each class has one flag. The server registers only read tools until you set a flag. A class that is off is not registered. Its tools do not appear in tools/list.

Class	Flag	Tools
alerting	`MALCOLM_MCP_ENABLE_ALERTING`	`malcolm_create_alert`
arkime-tag	`MALCOLM_MCP_ENABLE_ARKIME_TAGS`	`arkime_add_tags`
hunt-job	`MALCOLM_MCP_ENABLE_HUNT_JOBS`	`arkime_create_hunt`, `arkime_cancel_hunt`
pcap-upload	`MALCOLM_MCP_ENABLE_PCAP_UPLOAD`	`malcolm_upload_pcap`
arkime-view	`MALCOLM_MCP_ENABLE_ARKIME_VIEWS`	`arkime_create_view`, `arkime_create_shortcut`

A flag is on only when its value is true. Every write attempt writes one audit line, to stderr or to the file in MALCOLM_MCP_AUDIT_FILE. The security page describes the model.

Tools

The server has 51 read tools. They cover Malcolm filter queries, aggregation, field lookup, Arkime sessions and packets, NetBox, Zeek file scans, saved objects and alerting monitors. The tools page lists them all.

The tool schemas use about 34,000 tokens in every session. To save tokens, set MALCOLM_MCP_DISABLE_READ_GROUPS to the groups you do not need. For example, netbox,dashboards,detections,arkime-inventory leaves 34 tools. See Trimming the read surface.

Non-goals

Version 1 leaves these out on purpose:

Destructive writes (Arkime session delete, tag removal, user management).
Raw OpenSearch write or raw NetBox CRUD passthrough, behind a flag or otherwise.
The streamable-http transport (stdio only).

Repository structure

├── src/mcp_server_malcolm/    # The server

│ ├── server.py # Registers the tools, applies the write gate │ ├── client.py # HTTP client for Malcolm │ ├── config.py # Write-class flags │ ├── audit.py # Audit output │ └── tools/ # Read tools. Write tools are in write/ ├── tests/ # Tests ├── scripts/ │ └── api_parity_check.py # Compares each tool with the Malcolm API ├── docs/ │ ├── install.md # Install, register, other install routes │ ├── container.md # Run in a container │ ├── configuration.md # Connection settings, every variable │ ├── troubleshooting.md # The first call fails │ ├── tools.md # Read tools, write tools, trimming │ ├── security.md # Security model, audit │ ├── usage.md # Demo, filter syntax, examples │ ├── python.md # Use the client from Python │ ├── design.md # Why an MCP layer, protocol notes │ ├── verification.md # Parity check, tested platforms, API endpoints │ └── zh-TW/ # Copy of these pages for README.zh-TW.md ├── Dockerfile # Container image ├── server.json # MCP Registry manifest ├── SECURITY.md # Report a vulnerability ├── CONTRIBUTING.md # How to contribute └── CHANGELOG.md # Changes per version

Development

pip install -e . pytest pytest-asyncio ruff

ruff check src tests ruff format --check src tests pytest

The tests do not need a Malcolm instance. See CONTRIBUTING.md.

License

MIT

MCP Server Malcolm

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Cybersecurityi

Common questions

Alternatives

ipdata MCP by usefulapi

MaxMind minFraud MCP by usefulapi

Lambda Labs MCP by usefulapi

README from the maker

Requirements

Quick start

[mcp-server-malcolm] write classes: alerting=off arkime-tag=off hunt-job=off pcap-upload=off arkime-view=off

Connection settings

Read-only by default

Tools

Non-goals

Repository structure

Development

License