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Chaos Mesh MCP Server
A Model Context Protocol (MCP) server for Chaos Mesh fault injection, optimized for AWS EKS environments with full namespace support.
Features
- Pod Fault Injection: Kill pods, inject failures, stress CPU/memory
- Network Chaos: Simulate network delays, partitions, bandwidth limits
- Host-level Chaos: CPU/memory stress, disk operations on nodes
- EKS Optimized: Enhanced support for AWS EKS with proper RBAC and authentication
- Namespace Support: All tools support custom namespaces
- Improved Error Handling: Detailed error messages and retry mechanisms
- Health Monitoring: Built-in health checks and diagnostics
- uvx Integration: Simplified installation and dependency management with uvx
EKS Authentication Methods
There are two ways to authenticate the MCP server with your EKS cluster:
Method 1: Static Service Account Token (Recommended)
Generated by running the setup script — produces a self-contained kubeconfig with a long-lived ServiceAccount token. No AWS CLI or IAM credentials required at runtime.
# Run once to create RBAC + generate kubeconfig
./setup-eks-permissions.sh
# Start the server with the generated kubeconfig
python server.py --kubeconfig ./chaos-mesh-mcp-kubeconfig
Pros: Portable, no AWS dependency at runtime, least-privilege permissions (Chaos Mesh only) Cons: Token has a fixed expiry (default 1 year), needs renewal
---
Method 2: Admin kubeconfig with exec-based Auth
If a cluster admin provides their kubeconfig (typically generated by aws eks update-kubeconfig), the server can use it directly. This format uses aws eks get-token to obtain a token on each request.
# Start the server with an admin-provided kubeconfig
python server.py --kubeconfig /path/to/admin-kubeconfig
Or set via environment variable:
export KUBECONFIG=/path/to/admin-kubeconfig
python server.py
Requirements:
awsCLI must be installed on the machine running the MCP server- The machine must have valid AWS credentials (IAM role /
~/.aws/credentials) - The IAM identity must be mapped in the EKS
aws-authConfigMap
Pros: Uses existing admin credentials, no extra setup needed Cons: Depends on AWS CLI + IAM credentials, admin-level permissions (overly broad)
---
Recommendation: Use Method 1 for production. Use Method 2 for quick testing when an admin kubeconfig is available.
---
Quick Start with uvx (Recommended)
1. One-time Environment Setup
cd /home/ec2-user/mcp-servers/Chaosmesh-MCP
# Run the uvx setup script (includes EKS permissions and kubeconfig generation)
./setup-uvx.sh
This script will:
- Install Chaos Mesh (if not present)
- Create necessary RBAC permissions
- Generate
chaos-mesh-mcp-kubeconfigfile with service account credentials - Create environment configuration for uvx
- Verify the setup
2. MCP Configuration
Add to your ~/.aws/amazonq/mcp.json:
{
"mcpServers": {
"chaosmesh-mcp": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/RadiumGu/Chaosmesh-MCP.git",
"chaosmesh-mcp",
"--kubeconfig",
"/home/ec2-user/mcp-servers/Chaosmesh-MCP/chaos-mesh-mcp-kubeconfig",
"--skip-env-check",
"--transport",
"stdio"
],
"env": {
"KUBECONFIG": "/home/ec2-user/mcp-servers/Chaosmesh-MCP/chaos-mesh-mcp-kubeconfig",
"AWS_REGION": "us-east-2"
},
"autoApprove": [],
"disabled": false,
"transportType": "stdio"
}
}
}
3. Start Using
Restart your Amazon Q CLI session:
# Exit current session
/quit
# Restart
q chat
The MCP server will now run automatically via uvx when needed!
Alternative: Manual Setup (Legacy)
If you prefer the traditional approach or need to troubleshoot:
1. Clone and Setup Environment
git clone https://github.com/RadiumGu/Chaosmesh-MCP.git
cd Chaosmesh-MCP/
uv venv
source .venv/bin/activate
uv sync
2. Generate Kubeconfig
# Make the setup script executable
chmod +x setup-eks-permissions.sh
# Run the setup script to generate kubeconfig and configure permissions
./setup-eks-permissions.sh
3. Start MCP Server
# Use the generated kubeconfig
export KUBECONFIG=./chaos-mesh-mcp-kubeconfig
uv run python server.py --kubeconfig ./chaos-mesh-mcp-kubeconfig
uvx vs Manual Installation
uvx Advantages (Recommended):
- ✅ Automatic dependency management: No need to manage Python environments
- ✅ Direct from Git: Always uses latest version from repository
- ✅ Version isolation: Clean environment for each run
- ✅ Simplified maintenance: No manual virtual environment management
- ✅ One-time setup: Just run
./setup-uvx.shonce
Manual Installation:
- ⚠️ Requires manual dependency management
- ⚠️ Need to sync repository updates manually
- ⚠️ Virtual environment maintenance required
- ✅ More control over the environment
- ✅ Easier for development and debugging
Troubleshooting Setup
If you encounter issues:
- Missing kubeconfig file: Run
./setup-uvx.shor./setup-eks-permissions.sh - Permission errors: Ensure your AWS credentials have EKS access
- Connection issues: Verify kubectl can access your cluster
- uvx issues: Check if uvx is installed:
uvx --version
For detailed setup instructions, see SETUP.md and UVX-USAGE.md.
Namespace Support
All Chaos Mesh MCP tools now support specifying custom namespaces:
Available Tools with Namespace Support
pod_kill(service, duration, mode, value, namespace="default")pod_failure(service, duration, mode, value, namespace="default")pod_cpu_stress(service, duration, mode, value, container_names, workers, load, namespace="default")pod_memory_stress(service, duration, mode, value, container_names, size, time, namespace="default")container_kill(service, duration, mode, value, container_names, namespace="default")network_partition(service, mode, value, direction, external_targets, namespace="default")network_bandwidth(service, mode, value, direction, rate, limit, buffer, external_targets, namespace="default")delete_experiment(type, name, namespace="default")inject_delay_fault(service, delay, namespace="default")remove_delay_fault(service, namespace="default")
New Namespace Management Tools
list_namespaces(): List all available namespaceslist_services_in_namespace(namespace="default"): List services in a specific namespacehealth_check(): Check system health
Example Usage
# List all namespaces
namespaces = list_namespaces()
# List services in votingapp namespace
services = list_services_in_namespace("votingapp")
# Kill 50% of votingapp pods in votingapp namespace for 30 seconds
pod_kill(
service="votingapp",
duration="30s",
mode="fixed-percent",
value="50",
namespace="votingapp"
)
# Apply CPU stress in production namespace
pod_cpu_stress(
service="api-service",
duration="2m",
mode="fixed",
value="2",
container_names=["api"],
workers=2,
load=80,
namespace="production"
)
# Check system health
health_status = health_check()
Installation
Prerequisites
- uvx: Python package runner (recommended)
- kubectl: Configured for your cluster
- Helm: For Chaos Mesh installation
- AWS CLI: For EKS environments
- Python 3.10+: Required by uvx
uvx Installation (Recommended)
# Install uvx if not already installed
pip install uvx
# Run one-time setup
cd /home/ec2-user/mcp-servers/Chaosmesh-MCP
./setup-uvx.sh
uvx will automatically handle all Python dependencies:
chaos-mesh>=1.2.13kubernetes>=32.0.1mcp[cli]>=1.7.1
Manual Installation (Alternative)
# Clone repository
git clone https://github.com/RadiumGu/Chaosmesh-MCP.git
cd Chaosmesh-MCP/
# Setup Python environment
uv venv
source .venv/bin/activate
uv sync
# Install dependencies manually
pip install chaos-mesh>=1.2.13 kubernetes>=32.0.1 mcp[cli]>=1.7.1
Configuration
uvx Configuration (Recommended)
For uvx-based deployment, use the automated setup:
./setup-uvx.sh
This script will:
- Install Chaos Mesh if not present
- Create necessary RBAC permissions with cross-namespace support
- Generate a service account kubeconfig
- Create environment configuration for uvx
- Verify the setup
EKS Environment (Manual)
For manual AWS EKS cluster setup:
./setup-eks-permissions.sh
This script will:
- Install Chaos Mesh if not present
- Create necessary RBAC permissions with cross-namespace support
- Generate a service account kubeconfig
- Verify the setup
Manual Configuration
- Install Chaos Mesh:
helm repo add chaos-mesh https://charts.chaos-mesh.org
helm install chaos-mesh chaos-mesh/chaos-mesh -n chaos-mesh --create-namespace
- Apply RBAC:
kubectl apply -f rbac-config.yaml
Troubleshooting
Common Issues
- uvx Command Not Found:
pip install uvx
- Connection Timeouts:
- Check Chaos Mesh installation
- Verify RBAC permissions
- Use
health_check()tool
- Permission Denied:
- Apply RBAC configuration
- Use service account kubeconfig
- Re-run
./setup-uvx.sh
- Service Not Found:
- Verify service name and namespace
- Use
list_services_in_namespace()to check available services - Check label selectors
- Namespace Issues:
- Use
list_namespaces()to see available namespaces - Ensure namespace exists before running experiments
- uvx Installation Issues:
- Check if kubeconfig exists:
ls -la /home/ec2-user/mcp-servers/Chaosmesh-MCP/chaos-mesh-mcp-kubeconfig - Verify Kubernetes connection:
kubectl get pods -n chaos-mesh - Re-run setup:
./setup-uvx.sh
Debug Mode
For uvx (automatic via MCP configuration): ``json "env": { "KUBECONFIG": "/home/ec2-user/mcp-servers/Chaosmesh-MCP/chaos-mesh-mcp-kubeconfig", "AWS_REGION": "us-east-2", "DEBUG": "true" } ``
For manual mode: ``bash python server.py --skip-env-check --kubeconfig ./chaos-mesh-mcp-kubeconfig ``
Logs
Check Chaos Mesh controller logs: ``bash kubectl logs -n chaos-mesh -l app.kubernetes.io/name=chaos-mesh ``
Check experiments across namespaces: ``bash kubectl get podchaos --all-namespaces ``
Migration from Manual to uvx
If migrating from manual installation, see MIGRATION-TO-UVX.md for detailed instructions.
Architecture
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ MCP Client │────│ Chaos Mesh MCP │────│ Kubernetes │
│ │ │ Server │ │ Cluster │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│
│
┌──────────────────┐
│ Chaos Mesh │
│ Controllers │
└──────────────────┘
Security
- Uses dedicated service account with minimal permissions
- Supports cross-namespace operations with proper RBAC
- Token-based authentication for EKS
- Namespace isolation support
- Audit logging support
Best Practices
- Use service accounts: Avoid using personal credentials
- Namespace isolation: Use different namespaces for different environments
- Monitor experiments: Regularly check experiment status across namespaces
- Clean up resources: Delete completed experiments promptly
- Detailed logging: Enable verbose logging for troubleshooting
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Test in EKS environment with multiple namespaces
- Submit a pull request
License
This project is licensed under the MIT License.
Support
For issues and questions:
- Check the troubleshooting section above
- Review logs and health status
- Consult the documentation:
- Use namespace management tools for debugging
- Check the GitHub Issues page
Documentation
- README.md - This file, main documentation
- SETUP.md - Detailed setup instructions
- EKS-SETUP.md - EKS-specific setup guide
- UVX-USAGE.md - uvx installation and usage guide
- MIGRATION-TO-UVX.md - Migration from manual to uvx











