AWS Advisor MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| suggest_aws_serviceB | Get AWS service recommendations based on your use case. Provide a description of what you want to build or accomplish, and get relevant AWS service suggestions. |
| list_aws_categoriesA | List all available AWS service categories (compute, storage, database, etc.) to help you explore services by type. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one lists AWS service categories for exploration, while the other provides service recommendations based on use cases. There is no overlap or ambiguity between these functions.
Both tools follow a consistent verb_noun pattern with 'list_' and 'suggest_' prefixes, and they use snake_case uniformly. The naming is predictable and readable across the set.
With only 2 tools, the server feels thin for its apparent scope of AWS advisory. While the tools cover basic exploration and recommendation, the domain suggests potential for more operations like detailed service comparisons or cost analysis, making the count inadequate.
The server provides a starting point for AWS service discovery but has notable gaps. It lacks tools for deeper analysis, such as comparing services, checking pricing, or managing recommendations, which limits its utility for comprehensive advisory tasks.