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Glama
nhkm95

AWS Infrastructure Operations MCP

by nhkm95

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
AWS_REGIONYesThe AWS region, e.g., ap-southeast-1
AWS_PROFILEYesThe AWS profile to use, e.g., mcp-lab-runtime
AWS_LOG_GROUP_PREFIXNoOptional prefix for log groups, default /aws/mcp-lab
AWS_SSM_DOCUMENT_NAMENoOptional SSM document name, default mcp-lab-get-nginx-status

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_instance_healthC

Check EC2 state and AWS system and instance health checks.

get_instance_metricsC

Get fixed EC2 performance and status metrics from CloudWatch.

get_recent_errorsC

Get recent CloudWatch application and operating-system errors.

get_service_statusB

Check the current state of an approved service on an instance.

get_service_journalA

Get a bounded nginx systemd journal through a fixed SSM document.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 5 tools

Disambiguation5/5

Each tool clearly targets a distinct aspect: instance health, metrics, errors, service status, and service journal. There is minimal overlap, and the descriptions specify distinct data sources (CloudWatch, SSM) and resources (EC2 instance vs. service).

Naming Consistency5/5

All tool names follow a uniform `get_` prefix followed by a descriptive noun phrase, such as `get_instance_health` and `get_service_journal`. The pattern is consistent and predictable, making the API easy to navigate.

Tool Count5/5

With 5 tools, the server is well-scoped for a monitoring-focused infrastructure ops API. Each tool serves a specific operational need, and the count is neither too thin nor bloated for the apparent purpose.

Completeness4/5

The tool set covers core monitoring needs: health, metrics, errors, service status, and logs. Minor gaps exist (e.g., no list operations, no instance control), but for a read-only diagnostics server, the coverage is solid and workable.

Maintenance

ActivityMaintained
ResponsivenessNo issues