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AWS MCP(Model Context Protocol) server for monitoring and analysing the ecs services and it's performance metrics in the
A Model Context Protocol (MCP) server for monitoring and analyzing AWS ECS (Elastic Container Service) metrics and services.
Install directly from GitHub using pipx:
# Install
pipx install git+https://github.com/neoai-agent/ecs-mcp.git
# Or run without installation
pipx run git+https://github.com/neoai-agent/ecs-mcp.git
ecs-mcp --openai-api-key "YOUR_OPENAI_API_KEY" --region "YOUR_AWS_REGION"
ecs-mcp --openai-api-key "YOUR_OPENAI_API_KEY" --access-key "YOUR_AWS_ACCESS_KEY" --secret-access-key "YOUR_AWS_SECRET_KEY" --region "YOUR_AWS_REGION"
The server provides the following tools for AWS ECS analysis:
check_ecs_service_status: Get comprehensive service status including:
get_service_metrics: Get CloudWatch metrics for ECS services:
get_ecs_target_group_response_time: Monitor load balancer response times
get_ecs_target_group_request_metrics: Get request count and error metrics
get_ecs_services: List all services in a cluster
For EC2 instance role or ECS task role:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"ecs:ListClusters",
"ecs:DescribeClusters",
"ecs:ListServices",
"ecs:DescribeServices",
"ecs:ListTasks",
"ecs:DescribeTasks",
"ecs:DescribeTaskDefinition",
"elasticloadbalancing:DescribeTargetHealth",
"cloudwatch:GetMetricData",
"cloudwatch:GetMetricStatistics"
],
"Resource": "*"
}
]
}
For development setup:
git clone https://github.com/neoai-agent/ecs-mcp.git
cd ecs-mcp
python -m venv ecs-venv
source ecs-venv/bin/activate # On Windows: ecs-venv\Scripts\activate
pip install -e ".[dev]"
MIT License - See LICENSE file for details
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