Splunk SOC MCP Server
Provides tools for querying and analyzing security events in Splunk, enabling SOC analysts to investigate incidents, search logs, and manage security data through natural language commands.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Splunk SOC MCP Serverfind all brute force attacks in the last 24 hours"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AI-Powered SOC Demo with Splunk + MCP
Overview
This demo showcases AI-assisted Security Operations Center (SOC) workflows using:
Splunk Enterprise (Docker) - SIEM platform with sample security data
MCP Server - Bridge between Claude and Splunk
Claude Desktop/Cline - AI assistant for SOC analysts
Related MCP server: Splunk MCP for SOC Operations
Architecture
Claude Desktop (with MCP)
↓
MCP Server (Python)
↓
Splunk Docker Container
↓
Security Events Sample Security DataPrerequisites
Git installed
Docker Desktop installed and running
Python 3.10+
Claude Desktop installed
8GB RAM minimum
20GB disk space
1. Install Docker Desktop for Windows
Download from: https://www.docker.com/products/docker-desktop
Install and restart your computer
Ensure WSL 2 is enabled (Docker Desktop will prompt you)
Start Docker Desktop and wait for it to be running
2. Install Python
Download Python 3.10 or higher from: https://www.python.org/downloads/
Important: Check "Add Python to PATH" during installation
Verify installation:
python --version3. Install Git (Optional, for cloning)
Download from: https://git-scm.com/download/win
Phase 1: Splunk Setup with Security Data
Setup Workflow Overview
Step 1: Launch Splunk (Docker)
↓
Step 2: Generate sample security data (Python script)
↓
Step 3: Import data into Splunk (Web UI or HEC)
↓
Step 4: Verify data in Splunk (Search queries)
↓
Step 5: Setup Python environment (MCP server)
↓
Step 6: Configure Claude Desktop (MCP config)
↓
Step 7: Work as a SOC EngineerStep-by-Step Setup
Step 1: Create Project Directory (Powershell commands on Windows)
# Create directory
mkdir C:\splunk-mcp-soc-demo
cd C:\splunk-mcp-soc-demo
git clone https://github.com/asecurityguru/ai-driven-soc-demo-repo.git
cd ai-driven-soc-demo-repo
copy generate_sample_data.py,requirements.txt,splunk_mcp_server.py ..\ #Copying files from git repo to splunk-mcp-soc-demo directory
cd .. # Moving out of git repo
# Download all the files from the demo into this directory
# (Use the files provided or download them)Step 2: Launch Splunk Docker Container
Note: We're running without a volume mount for simplicity and reliability.
# Run Splunk Enterprise
docker run -d \
--platform linux/amd64 \
-p 8000:8000 -p 8088:8088 -p 8089:8089 \
-e "SPLUNK_START_ARGS=--accept-license" \
-e 'SPLUNK_PASSWORD=Netguru123!' \
-e "SPLUNK_GENERAL_TERMS=--accept-sgt-current-at-splunk-com" \
-e "SPLUNK_HEC_TOKEN=abcd1234-abcd-1234-abcd-1234abcd1234" \
--name splunk \
splunk/splunk:latest
# Wait for Splunk to start (takes 2-3 minutes)
Write-Host "Waiting for Splunk to start..." -ForegroundColor Yellow
Start-Sleep -Seconds 180
# Check status
docker logs -f splunk
Administer Splunk Enterprise Docker containers
To see a list of example commands and environment variables for running Splunk Enterprise in a container, run:
docker run -it splunk/splunk help
To see a list of your running containers, run:
docker ps
To stop your Splunk Enterprise container, run:
docker container stop <container_id>
To restart a stopped container, run:
docker container start <container_id>
To access a running Splunk Enterprise container to perform administrative tasks, such as modifying configuration files, run:
docker exec -it <container_id> bash
Step 3: Verify Splunk Access
Open browser: http://localhost:8000
Login with:
Username:
adminPassword:
Netguru123!
Step 4: Generate Sample Security Data
Create realistic security events:
# Generate sample security events (49 events)
python generate_sample_data.py
What this creates:
sample_security_events.jsonwith 49 realistic security eventsAttack scenarios: brute force, malware C2, data exfiltration, port scanning, privilege escalation
Normal traffic baseline for comparison
Expected output:
✅ Generated 49 security events
📁 Saved to: sample_security_events.json
Event breakdown:
- Brute Force Attacks: 12 events
- Data Exfiltration: 1 event
- Malware C2 Traffic: 5 events
- Port Scanning: 9 events
- Privilege Escalation: 1 event
- Phishing: 1 event
- Normal Traffic: 20 eventsStep 5: Import Data into Splunk via Web UI
1. Open Splunk Web UI
URL: http://localhost:8000
Login credentials:
Username: admin
Password: Netguru123!2. Upload the Data
Click "Settings" → "Add Data"
Click "Upload"
Click "Select File" and choose
sample_security_events.jsonClick "Next"
3. Configure Source Type (IMPORTANT!)
On the "Set Source Type" page:
Source Type: Select "_json" from dropdown
Click "Advanced" to expand settings
LINE_BREAKER field:
⚠️ If you see a weird value like
\N+01+, DELETE ITLeave it blank or set to:
([\r\n]+)
Event Breaks: Should be "Every Line"
Click "Apply Settings"
Click "Save As", Keep Category as "Structured" and App as "Search & Reporting"
Click "Save" and then Click "OK" if override warning appears
Click "Next"
4. Set Input Settings
Create "netguru" index
Index: Select "netguru"
Click "Review"
5. Submit
Review settings
Click "Submit"
You should see: "File has been uploaded successfully"
6. Verify Data Import
Click "Start Searching" or go to Search & Reporting, then run:
Count events:
index=netguru | stats countExpected result: Should show 49 (or more if you uploaded multiple times)
View sample events:
index=netguru | head 10Step 6: Setup Python Virtual Environment
# Create virtual environment
python3 -m venv netguru
# Activate virtual environment
source netguru/bin/activate
# Deactivate virtual environment
deactivate
# Install dependencies
pip3 install --upgrade pip
pip3 install -r requirements.txt
pip3 install "mcp<2" splunk-sdk requests
****** Modified Requirements ******
mcp<2.0.0
#mcp>=0.9.0
splunk-sdk>=2.0.0
requests>=2.31.0
python-dotenv>=1.0.0
Step 7: Test MCP Server
# Test the MCP server (press Ctrl+C to stop)
python3 splunk_mcp_server.py
If you see no errors, the MCP server is working! Press Ctrl+C to stop.
Step 8: Configure Claude Desktop
8.1: Install Claude Desktop and login to Claude and check MCP servers
Download: https://claude.ai/download
8.2: Determine Your Claude Desktop Installation Type (Powershell commands for Windows)
Windows - Check which version you have:
#### Option 1: Check for Microsoft Store version
Test-Path "$env:LOCALAPPDATA\Packages\Claude_pzs8sxrjxfjjc"
#### If returns TRUE = You have Microsoft Store version
#### If returns FALSE = You have Direct Download versionOr check manually:
#### Search for Claude executable
Get-ChildItem -Path "$env:LOCALAPPDATA" -Recurse -Filter "Claude.exe" -ErrorAction SilentlyContinue | Select-Object FullName
#### If path contains "Packages\Claude_pzs8sxrjxfjjc" = Microsoft Store version
#### If path contains "Programs\Claude" = Direct Download versionmacOS/Linux:
#### Check config location
ls ~/Library/Application\ Support/Claude/claude_desktop_config.json
#### If exists = Standard installation
#### If not exists = Check alternate locations8.3: Configure Based on Your Installation Type (Powershell commands for Windows)
🏪 For Microsoft Store Version (Windows)
Step 1: Check if the directory exists
Test-Path "$env:LOCALAPPDATA\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude"
If it returns FALSE, create the directory first:
New-Item -ItemType Directory -Force -Path "$env:LOCALAPPDATA\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude"
Verify the directory in explorer
explorer "$env:LOCALAPPDATA\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude"
Step 2: Now create the config file
notepad "$env:LOCALAPPDATA\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude\claude_desktop_config.json"
Notepad will ask: "Do you want to create a new file?" - Click YES
# Step 3: Add this configuration in the Notepad file (replace path with your actual path):
**If file is EMPTY or NEW:**
```json
{
"mcpServers": {
"splunk-soc": {
"command": "C:\\splunk-mcp-soc-demo\\venv\\Scripts\\python.exe",
"args": [
"C:\\splunk-mcp-soc-demo\\splunk_mcp_server.py"
],
"env": {
"SPLUNK_HOST": "localhost",
"SPLUNK_PORT": "8089",
"SPLUNK_USERNAME": "admin",
"SPLUNK_PASSWORD": "Admin123!"
}
}
}
}If file ALREADY HAS CONTENT (e.g., preferences):
{
"preferences": {
"coworkScheduledTasksEnabled": false,
"sidebarMode": "chat"
},
"mcpServers": {
"splunk-soc": {
"command": "C:\\splunk-mcp-soc-demo\\venv\\Scripts\\python.exe",
"args": [
"C:\\splunk-mcp-soc-demo\\splunk_mcp_server.py"
],
"env": {
"SPLUNK_HOST": "localhost",
"SPLUNK_PORT": "8089",
"SPLUNK_USERNAME": "admin",
"SPLUNK_PASSWORD": "Admin123!"
}
}
}
}Save the file
Restart Claude Desktop:
# Kill all Claude processes
Get-Process | Where-Object {$_.Name -like "*Claude*"} | Stop-Process -Force
# Wait a moment
Start-Sleep -Seconds 3
# Restart Claude Desktop from Start MenuVerify: Look for MCP server in developer settings in Claude Desktop
💻 For Direct Download Version (Windows)
Config File Location:
%APPDATA%\Claude\claude_desktop_config.jsonSteps:
Create/Edit config file:
# Open with notepad
notepad "$env:APPDATA\Claude\claude_desktop_config.json"
# Or navigate to folder
explorer "$env:APPDATA\Claude"Add this configuration:
{
"mcpServers": {
"splunk-soc": {
"command": "C:\\splunk-mcp-soc-demo\\venv\\Scripts\\python.exe",
"args": [
"C:\\splunk-mcp-soc-demo\\splunk_mcp_server.py"
],
"env": {
"SPLUNK_HOST": "localhost",
"SPLUNK_PORT": "8089",
"SPLUNK_USERNAME": "admin",
"SPLUNK_PASSWORD": "Netguru123!"
}
}
}
}Save and restart Claude Desktop
Verify:
Logs Location:
explorer "$env:APPDATA\Claude\logs"🍎 For macOS
Config File Location:
~/Library/Application Support/Claude/claude_desktop_config.jsonSteps:
Edit config file:
vi ~/Library/Application\ Support/Claude/claude_desktop_config.json
Add this configuration:
}
"mcpServers": {
"splunk-soc": {
"command": " /Users/v.henry/Desktop/CCC/splunk-mcp-soc-demo/netguru/bin/python3",
"args": [
"/Users/v.henry/Desktop/CCC/splunk-mcp-soc-demo/splunk_mcp_server.py"
],
"env": {
"SPLUNK_HOST": "localhost",
"SPLUNK_PORT": "8089",
"SPLUNK_USERNAME": "admin",
"SPLUNK_PASSWORD": "Netguru123!"
}
}
}
}
********* File ***********
{
"mcpServers": {
"splunk-soc": {
"command": "/Users/v.henry/Desktop/CCC/splunk-mcp-soc-demo/netguru/bin/python",
"args": [
"/Users/v.henry/Desktop/CCC/splunk-mcp-soc-demo/splunk_mcp_server.py"
],
"env": {
"SPLUNK_HOST": "localhost",
"SPLUNK_PORT": "8089",
"SPLUNK_USERNAME": "admin",
"SPLUNK_PASSWORD": "Netguru123!"
}
}
},
"coworkUserFilesPath": "/Users/v.henry/Claude",
"preferences": {
"launchPreviewPersistedWorkspaces": [],
"launchPreviewSessionScopedSessions": [],
"coworkScheduledTasksEnabled": true,
"coworkHipaaRestricted": false,
"ccdScheduledTasksEnabled": true,
"bypassPermissionsGateByAccount": {
"fa433d58-284c-46a3-b603-89b5b94fc5dc": false
***********************************
Save (Ctrl+X, then Y, then Enter)
Restart Claude Desktop
🐧 For Linux
Config File Location:
~/.config/Claude/claude_desktop_config.jsonSteps:
Edit config file:
nano ~/.config/Claude/claude_desktop_config.jsonAdd configuration (same format as macOS above)
Save and restart
Step 9: Testing the Integration
Once Claude Desktop is restarted and showing the 🔌 icon, try these prompts:
1. Alert Triage
Get all high severity security alerts from the last 24 hours and prioritize them for me.2. Threat Investigation
Investigate IP address 142.250.185.46 - what activity have we seen and is it malicious?3. User Investigation
Analyze all activity for user "tdavis" in the last 24 hours. Is there any suspicious behavior?4. Brute Force Detection
Are there any brute force attacks happening? Show me accounts with multiple failed login attempts.5. Data Exfiltration
Detect any unusual data transfers that might indicate data exfiltration.6. Security Metrics
Give me a security operations summary for the last 24 hours with key metrics.This server cannot be installed
Maintenance
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