Crowdsentinel MCP Server

Name: Crowdsentinel MCP Server
Author: thomasxm

by thomasxmversion 0.6.0i★ –iRuns on your computer

Registry nameio.github.thomasxm/crowdsentinel-mcp-server

Install

Overview

Description from the maker (original English)

AI threat hunting & incident response for Elasticsearch/OpenSearch with endpoint & network forensics

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: Databases & datasets
You need to fill in: ELASTICSEARCH_API_KEY, ELASTICSEARCH_PASSWORD, ELASTICSEARCH_BEARER_TOKEN

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).
You fill in yourself: ELASTICSEARCH_HOSTS, ELASTICSEARCH_CLOUD_ID, ELASTICSEARCH_API_KEY, ELASTICSEARCH_USERNAME, ELASTICSEARCH_PASSWORD, ELASTICSEARCH_BEARER_TOKEN, VERIFY_CERTS, REQUEST_TIMEOUT

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "crowdsentinel": {
      "command": "uvx",
      "args": [
        "crowdsentinel-mcp-server"
      ],
      "env": {
        "ELASTICSEARCH_HOSTS": "your-value",
        "ELASTICSEARCH_CLOUD_ID": "your-value",
        "ELASTICSEARCH_API_KEY": "your-value",
        "ELASTICSEARCH_USERNAME": "your-value",
        "ELASTICSEARCH_PASSWORD": "your-value",
        "ELASTICSEARCH_BEARER_TOKEN": "your-value",
        "VERIFY_CERTS": "your-value",
        "REQUEST_TIMEOUT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add crowdsentinel --env ELASTICSEARCH_HOSTS=your-value --env ELASTICSEARCH_CLOUD_ID=your-value --env ELASTICSEARCH_API_KEY=your-value --env ELASTICSEARCH_USERNAME=your-value --env ELASTICSEARCH_PASSWORD=your-value --env ELASTICSEARCH_BEARER_TOKEN=your-value --env VERIFY_CERTS=your-value --env REQUEST_TIMEOUT=your-value -- uvx crowdsentinel-mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "crowdsentinel": {
      "command": "uvx",
      "args": [
        "crowdsentinel-mcp-server"
      ],
      "env": {
        "ELASTICSEARCH_HOSTS": "your-value",
        "ELASTICSEARCH_CLOUD_ID": "your-value",
        "ELASTICSEARCH_API_KEY": "your-value",
        "ELASTICSEARCH_USERNAME": "your-value",
        "ELASTICSEARCH_PASSWORD": "your-value",
        "ELASTICSEARCH_BEARER_TOKEN": "your-value",
        "VERIFY_CERTS": "your-value",
        "REQUEST_TIMEOUT": "your-value"
      }
    }
  }
}

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": {
    "crowdsentinel": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "crowdsentinel-mcp-server"
      ],
      "env": {
        "ELASTICSEARCH_HOSTS": "your-value",
        "ELASTICSEARCH_CLOUD_ID": "your-value",
        "ELASTICSEARCH_API_KEY": "your-value",
        "ELASTICSEARCH_USERNAME": "your-value",
        "ELASTICSEARCH_PASSWORD": "your-value",
        "ELASTICSEARCH_BEARER_TOKEN": "your-value",
        "VERIFY_CERTS": "your-value",
        "REQUEST_TIMEOUT": "your-value"
      }
    }
  }
}

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.

Values you fill in

ELASTICSEARCH_HOSTS env
Comma-separated Elasticsearch hosts. Supports HTTP/HTTPS, local/remote/cloud (e.g., http://localhost:9200, https://es.prod.example.com:9200)
ELASTICSEARCH_CLOUD_ID env
Elastic Cloud deployment ID (alternative to ELASTICSEARCH_HOSTS for cloud deployments)
ELASTICSEARCH_API_KEY secret env
API key for authentication (recommended for production and Elastic Cloud)
ELASTICSEARCH_USERNAME env
Username for basic authentication (alternative to API key)
ELASTICSEARCH_PASSWORD secret env
Password for basic authentication (used with ELASTICSEARCH_USERNAME)
ELASTICSEARCH_BEARER_TOKEN secret env
Bearer/service token for authentication (alternative to API key)
VERIFY_CERTS env
TLS certificate verification: true (verify CA — production), false (skip — dev/test), or /path/to/ca.crt (custom CA)
REQUEST_TIMEOUT env
Request timeout in seconds (e.g., 60 or 10.5)

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 thomasxm, 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 Databases & datasetsi

More stars than 0% of the other 956 servers in this category
Published to the registry more recently than 21% of the other 956 servers in this category
Basic checks equal to or better than 100% of the other 956 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 Crowdsentinel MCP Server 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?

You need to fill in: ELASTICSEARCH_API_KEY, ELASTICSEARCH_PASSWORD, ELASTICSEARCH_BEARER_TOKEN

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 (0.6.0) 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: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

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

Supabase

by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated yesterday

Install

MongoDB MCP Server

by mongodb-js

MongoDB Model Context Protocol Server

Runs on your computer★ 1,157Apache-2.0Updated 3 days ago

Install

Elasticsearch MCP Server

by cr7258

MCP server for interacting with Elasticsearch

Runs on your computer★ 315Apache-2.0Updated 14 months ago

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.

CrowdSentinel MCP Server

AI-Powered Threat Hunting & Incident Response Framework

MCP Official Registry · PyPI Package

Open-source threat hunting orchestrator connecting LLMs to enterprise security data via Model Context Protocol (MCP)

Quick Start · Installation · CLI Usage · Features · Architecture · Documentation · Examples

Warning

This project is in active development and intended for security testing, research, and educational purposes only. It is not production-ready. Do not deploy in production environments. APIs, tool interfaces, and data formats may change without notice. Use at your own risk.

Demo

https://github.com/user-attachments/assets/0d0381f0-5b68-43b2-8630-19ec130885b2

What is CrowdSentinel?

CrowdSentinel transforms traditional SIEM querying into intelligent, framework-driven investigations using natural language. It serves as a unified security intelligence layer that connects large language models to enterprise security data sources, enabling:

Natural Language Threat Hunting — Query Elasticsearch using plain English
AI-Guided Investigation Workflows — Built-in prompts guide agents through proper IR methodology
Persistent Investigation State — Memory-managed IoC tracking, forensic timelines, and cross-query correlation that survives across sessions (8GB FIFO storage)
Cross-Tool IoC Correlation — IoCs discovered in one tool are automatically available to all others
Multi-Source Analysis — Elasticsearch, EVTX logs (Chainsaw), PCAP files (Wireshark), live endpoint forensics (Velociraptor), local host forensics (osquery)
Velociraptor Endpoint Forensics — 25 MCP tools for live artefact collection (processes, network, persistence, execution evidence, NTFS MFT, SRUM, remote EVTX) with automatic IoC extraction
Encoded-Command Deobfuscation — Automatically peels base64/UTF-16LE/gzip/hex layers off encoded commands (e.g. PowerShell -EncodedCommand) so C2 addresses hidden inside them surface as IoCs
Adaptive Schema Intelligence — Data-driven schema registry (ECS, Sysmon, Windows Security, auditd, Zeek, Packetbeat, AWS CloudTrail) adapts hunts to each index's field conventions
DFIR Knowledge Resources — 9 MCP resources exposing investigation playbooks, Pyramid of Pain reference, and cross-correlation guidance directly to connected AI agents
Standalone CLI — Full threat hunting from the terminal without an MCP client

Installation

Install from PyPI (recommended)

# Install with pip

pip install crowdsentinel-mcp-server

Or install with uv

uv pip install crowdsentinel-mcp-server

Download detection rules, Chainsaw, and Sigma rules (one-time)

crowdsentinel setup

Validate connector configuration and readiness (offline, no external calls)

crowdsentinel doctor

Optional extras:

# Velociraptor live endpoint forensics (adds 25 MCP tools)

pip install 'crowdsentinel-mcp-server[velociraptor]'

Long-tail deobfuscation coverage via chepy (XOR, exotic encodings).

The stdlib decoder core works without this — chepy only extends it.

pip install 'crowdsentinel-mcp-server[deobf]'

Detection rules (6,060 Lucene + EQL + ES|QL) are bundled with the package — no download needed. The setup command downloads additional tools:

Chainsaw binary for EVTX analysis
3,000+ Sigma rules for Chainsaw

Downloaded tools are stored in ~/.crowdsentinel/ and persist across package upgrades.

System dependency for PCAP analysis:

# Required for network traffic analysis and cross-tool IoC correlation

sudo apt install tshark # Debian/Ubuntu/Kali sudo dnf install wireshark-cli # Fedora/RHEL brew install wireshark # macOS

Run directly with uvx (no install needed)

# Elasticsearch 8.x (default)

uvx crowdsentinel-mcp-server

Other backends

uvx crowdsentinel-mcp-server-es7 # Elasticsearch 7.x uvx crowdsentinel-mcp-server-es9 # Elasticsearch 9.x uvx opensearch-mcp-server # OpenSearch 1.x/2.x/3.x

Install from source

git clone https://github.com/thomasxm/CrowdSentinels-AI-MCP.git

cd CrowdSentinels-AI-MCP chmod +x setup.sh && ./setup.sh

Or install everything, including all optional extras (deobf/chepy, velociraptor)

./setup.sh --full

The setup script will:

Install dependencies (pipx, uv, Claude Code CLI if needed)
Bundle 6,060 detection rules and download Chainsaw binary
Prompt for Elasticsearch credentials (never hardcoded)
Configure the MCP server with Claude Code
Validate your connection

With --full, every optional extra is installed too, so all 139 MCP tools have their dependencies available — the recommended mode for a production-ready server.

Installed Size

CrowdSentinel bundles 6,060 detection rules and integrates with external analysis tools. Below is the full disk space breakdown so you can plan accordingly.

Core package (via `pip` or `uvx`):

Component	Size	Notes
CrowdSentinel package	49 MB	The server itself
— Bundled Sigma rules (`src/rules/`)	30 MB	6,060 pre-converted detection rules
— Elastic TOML rules (`src/detection-rules/`)	17 MB	Original TOML format rules + hunting queries
— Python code (clients, tools, etc.)	2 MB	Actual application code
Dependencies	64 MB	All transitive deps
— `cryptography`	14 MB	Largest dependency (TLS)
— `elasticsearch`	8.3 MB	ES Python client
— `pygments`	5.2 MB	Syntax highlighting
— `pydantic_core`	5 MB	Validation engine
— `opensearchpy`	3.6 MB	OpenSearch client
— Others (27 packages)	~28 MB	mcp, fastmcp, httpx, anthropic, etc.
Core total	113 MB	`pip install crowdsentinel-mcp-server`

Additional tools (via `crowdsentinel setup`):

Component	Download	Installed	Notes
Chainsaw binary (v2.13.1)	~3 MB	~15 MB	EVTX log analysis engine
Sigma rules (SigmaHQ)	~3 MB	~30 MB	3,000+ Sigma rules for Chainsaw
Chainsaw mappings	—	<1 MB	Event log source mappings
Setup total	~6 MB	~46 MB	Stored in `~/.crowdsentinel/`

System dependency (via package manager):

Component	Installed	Install Command	Notes
tshark + Wireshark libs	~132 MB	`sudo apt install tshark`	PCAP network analysis — required for cross-tool IoC correlation

Full installation summary:

Scenario	Total Disk Space
Core only (`pip install`)	~113 MB
Core + setup (`crowdsentinel setup`)	~159 MB
Full platform (+ tshark)	~291 MB

Note: PyPI download size is only 8.9 MB (wheel) thanks to compression of the bundled detection rules.

Quick Start

1. Set environment variables

export ELASTICSEARCH_HOSTS="https://localhost:9200"

export ELASTICSEARCH_API_KEY="your_api_key"

Or use username/password:

export ELASTICSEARCH_USERNAME="elastic"

export ELASTICSEARCH_PASSWORD="your_password"

export VERIFY_CERTS="false"

2. Connect to an MCP Client

CrowdSentinel works with any MCP-compatible AI agent. Choose your client below:

Claude Code (CLI)

claude mcp add crowdsentinel \

-e ELASTICSEARCH_HOSTS="https://localhost:9200" \ -e ELASTICSEARCH_API_KEY="your_api_key" \ -e VERIFY_CERTS="false" \ -- uvx crowdsentinel-mcp-server

</details>

Claude Desktop

Edit ~/.config/Claude/claude_desktop_config.json (Linux) or ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

"mcpServers": { "crowdsentinel": { "command": "uvx", "args": ["crowdsentinel-mcp-server"], "env": { "ELASTICSEARCH_HOSTS": "https://localhost:9200", "ELASTICSEARCH_API_KEY": "your_api_key", "VERIFY_CERTS": "false" } } } }

</details>

VS Code Copilot

Create .vscode/mcp.json in your workspace:

"servers": { "crowdsentinel": { "command": "uvx", "args": ["crowdsentinel-mcp-server"], "env": { "ELASTICSEARCH_HOSTS": "https://localhost:9200", "ELASTICSEARCH_API_KEY": "your_api_key", "VERIFY_CERTS": "false" } } } }

Then enable MCP in VS Code settings: "chat.mcp.enabled": true

Cursor

Create or edit ~/.cursor/mcp.json:

</details>

Roo Code (VS Code Extension)

Create .roo/mcp.json in your workspace:

Or configure via Roo Code settings panel: Settings > MCP Servers > Add Server.

5ire

In 5ire settings (v0.15.0+), add an MCP server with:

Command: uvx
Arguments: crowdsentinel-mcp-server
Environment Variables:
ELASTICSEARCH_HOSTS = https://localhost:9200
ELASTICSEARCH_API_KEY = your_api_key
VERIFY_CERTS = false

Note: 5ire v0.14.0 has known MCP compatibility issues. Use v0.15.0+ for reliable operation.

Any MCP Client (Generic)

stdio transport (default — works with most clients):

SSE transport (for web-based clients):

crowdsentinel-mcp-server --transport sse --port 8001

Connect to: http://localhost:8001/sse/

HTTP transport (for REST API clients):

crowdsentinel-mcp-server --tran

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

Crowdsentinel MCP Server

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

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 Databases & datasetsi

Common questions

Alternatives

Supabase

MongoDB MCP Server

Elasticsearch MCP Server

README from the maker

CrowdSentinel MCP Server

AI-Powered Threat Hunting & Incident Response Framework

Demo

What is CrowdSentinel?

Installation

Install from PyPI (recommended)

Or install with uv

Download detection rules, Chainsaw, and Sigma rules (one-time)

Validate connector configuration and readiness (offline, no external calls)

Long-tail deobfuscation coverage via chepy (XOR, exotic encodings).

The stdlib decoder core works without this — chepy only extends it.

Run directly with uvx (no install needed)

Other backends

Install from source

Or install everything, including all optional extras (deobf/chepy, velociraptor)

Installed Size

Quick Start

1. Set environment variables

Or use username/password:

export ELASTICSEARCH_USERNAME="elastic"

export ELASTICSEARCH_PASSWORD="your_password"

2. Connect to an MCP Client

Connect to: http://localhost:8001/sse/